https://wiki.communitydata.science/index.php?title=COVID-19_Digital_Observatory&feed=atom&action=historyCOVID-19 Digital Observatory - Revision history2024-03-29T05:55:08ZRevision history for this page on the wikiMediaWiki 1.38.4https://wiki.communitydata.science/index.php?title=COVID-19_Digital_Observatory&diff=267976&oldid=prevBenjamin Mako Hill: /* Wikipedia data */2023-08-01T15:39:50Z<p><span dir="auto"><span class="autocomment">Wikipedia data</span></span></p>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>====Wikipedia data====</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>====Wikipedia data====</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>Our initial release provides exhaustive edit and [[Wikipedia:Pageview_statistics|pageview data]] for the list of English Wikipedia articles covered by [[Wikipedia:Wikiproject COVID-19|WikiProject Covid-19]]. Please note that the edit JSON data of revisions include the full text of every revision made to articles in [[:wikipedia:Wikipedia:WikiProject COVID-19|English Wikipedia's Wikiproject COVID-19]]. They are highly compressed and and expand to <del style="font-weight: bold; text-decoration: none;">more than 20GB </del>of data. Depending on the computer you use, it may not work to load them into memory all at once for analysis.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>Our initial release provides exhaustive edit and [[Wikipedia:Pageview_statistics|pageview data]] for the list of English Wikipedia articles covered by [[Wikipedia:Wikiproject COVID-19|WikiProject Covid-19]]. Please note that the edit JSON data of revisions include the full text of every revision made to articles in [[:wikipedia:Wikipedia:WikiProject COVID-19|English Wikipedia's Wikiproject COVID-19]]. They are highly compressed and and expand to <ins style="font-weight: bold; text-decoration: none;">between 20G and 200GB </ins>of data <ins style="font-weight: bold; text-decoration: none;">per day</ins>. Depending on the computer you use, it may not work to load them into memory all at once for analysis.</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Each are updated daily and we are working to add historical data from all other language Wikipedia editions.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>Each are updated daily and we are working to add historical data from all other language Wikipedia editions.</div></td></tr>
</table>Benjamin Mako Hillhttps://wiki.communitydata.science/index.php?title=COVID-19_Digital_Observatory&diff=251031&oldid=prevDivyasikka: /* Search Engine Results Pages (SERP) Data */2022-10-12T20:20:01Z<p><span dir="auto"><span class="autocomment">Search Engine Results Pages (SERP) Data</span></span></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 21:20, 12 October 2022</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>The SERP data in our initial data release includes the first search result page from Google and Bing for a variety of COVID-19 related terms gathered from Google Trends and Google and Bing's autocomplete "search suggestions." Specifically, using a set of six "stem keywords" about COVID-19 and online communities ("coronavirus", "coronavirus reddit", coronavirus wiki", "covid 19", "covid 19 reddit", and "covid 19 wiki"), we collect related keywords from Google Trends (using open source software[https://www.npmjs.com/package/google-trends-api]) and autocomplete suggestions from Google and Bing (using open source software[https://github.com/gitronald/suggests]). In addition to COVID-19 keywords, we also collect SERP data for the top daily trending queries. Currently, the SERP data collection process does not specify location in its searches. Consequently, the default location used is the location of our machine, at Northwestern University's Evanston campus. We are working on collecting SERP data with location specified beyond the Chicago area (aka other 'localized' content). </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>The SERP data in our initial data release includes the first search result page from Google and Bing for a variety of COVID-19 related terms gathered from Google Trends and Google and Bing's autocomplete "search suggestions." Specifically, using a set of six "stem keywords" about COVID-19 and online communities ("coronavirus", "coronavirus reddit", coronavirus wiki", "covid 19", "covid 19 reddit", and "covid 19 wiki"), we collect related keywords from Google Trends (using open source software[https://www.npmjs.com/package/google-trends-api]) and autocomplete suggestions from Google and Bing (using open source software[https://github.com/gitronald/suggests]). In addition to COVID-19 keywords, we also collect SERP data for the top daily trending queries. Currently, the SERP data collection process does not specify location in its searches. Consequently, the default location used is the location of our machine, at Northwestern University's Evanston campus. We are working on collecting SERP data with location specified beyond the Chicago area (aka other 'localized' content). </div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>The SERP data is released as a series of compressed archives (7z), one archive per day, that follow the naming convention <code>covid_search_data-[YYYYMMDD].7z</code>. Within these compressed archives, there is a folder for each device emulated in the data collection (currently two: Chrome on Windows and iPhone X) which contains all of the respective SERP data. Per each device subdirectory, SERP data itself is organized into folders that are titled by the URL of the search query (e.g. <code>'https---www.google.com-search?q=Krispy Kreme'</code>), and each SERP folder contains three data files: </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>The SERP data is released as a series of compressed archives (7z), one archive per day, that follow the naming convention <code>covid_search_data-[YYYYMMDD].7z</code><ins style="font-weight: bold; text-decoration: none;">. You will need a 7z extractor, "7z Opener" on windows worked well for me</ins>. Within these compressed archives, there is a folder for each device emulated in the data collection (currently two: Chrome on Windows and iPhone X) which contains all of the respective SERP data. Per each device subdirectory, SERP data itself is organized into folders that are titled by the URL of the search query (e.g. <code>'https---www.google.com-search?q=Krispy Kreme'</code>), and each SERP folder contains three data files: </div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* a PNG screenshot of the full first page of results, </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* a PNG screenshot of the full first page of results, </div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* an mhtml "snapshot" (https://github.com/puppeteer/puppeteer/issues/3658), </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* an mhtml "snapshot" (https://github.com/puppeteer/puppeteer/issues/3658), </div></td></tr>
</table>Divyasikkahttps://wiki.communitydata.science/index.php?title=COVID-19_Digital_Observatory&diff=227513&oldid=prev66.165.27.231: /* Related projects */ fix a link (this is Jonathan M., not a bot)2022-02-21T22:20:32Z<p><span dir="auto"><span class="autocomment">Related projects: </span> fix a link (this is Jonathan M., not a bot)</span></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 23:20, 21 February 2022</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [https://www.archiveteam.org/index.php?title=Coronavirus Archive team listing of archive sites related to the Coronavirus]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [https://www.archiveteam.org/index.php?title=Coronavirus Archive team listing of archive sites related to the Coronavirus]</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [https://github.com/nychealth/coronavirus-data Repository with data on COVID-19 from the NYC Department of Health and Mental Hygiene (DOHMH)]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [https://github.com/nychealth/coronavirus-data Repository with data on COVID-19 from the NYC Department of Health and Mental Hygiene (DOHMH)]</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* The Citizens and Technology Lab is <del style="font-weight: bold; text-decoration: none;">[</del>[https://covid-algotracker.citizensandtech.org/ tracking COVID-related posts on the Reddit front page] (Cornell and J. Nathan Mattias).</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* The Citizens and Technology Lab is [https://covid-algotracker.citizensandtech.org/ tracking COVID-related posts on the Reddit front page] (Cornell and J. Nathan Mattias).</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [https://covid-data.wmflabs.org/ General statistics about COVID-19 editing in Wikipedia projects] (Diego Saez from the Wikimedia Foundation)</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [https://covid-data.wmflabs.org/ General statistics about COVID-19 editing in Wikipedia projects] (Diego Saez from the Wikimedia Foundation)</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [https://github.com/nytimes/covid-19-data The New York Times data files] with cumulative counts of coronavirus cases in the United States, at the state and county level, over time.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* [https://github.com/nytimes/covid-19-data The New York Times data files] with cumulative counts of coronavirus cases in the United States, at the state and county level, over time.</div></td></tr>
</table>66.165.27.231https://wiki.communitydata.science/index.php?title=COVID-19_Digital_Observatory&diff=207444&oldid=prevKaylea: /* Get Help Using Data */2020-10-16T01:43:13Z<p><span dir="auto"><span class="autocomment">Get Help Using Data</span></span></p>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>[[Tips for working with SERP data <del style="font-weight: bold; text-decoration: none;">| SERPtips</del>]]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>[[<ins style="font-weight: bold; text-decoration: none;">SERP Tips | </ins>Tips for working with SERP data]]</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==Contribute==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==Contribute==</div></td></tr>
</table>Kayleahttps://wiki.communitydata.science/index.php?title=COVID-19_Digital_Observatory&diff=207443&oldid=prevKaylea: /* Get Help Using Data */2020-10-16T01:42:43Z<p><span dir="auto"><span class="autocomment">Get Help Using Data</span></span></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 02:42, 16 October 2020</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>We plan to develop tutorials and demos for the use of the data we release and particularly welcome contributions that help make these resources more easily usable by others. In some cases, the data sources are quite large and might not be suitable for analysis on your personal computer. Wherever possible, we'll try to build examples that only ingest a small subset of data and/or point you to useful tools to help make larger scale analyses feasible or easier.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>We plan to develop tutorials and demos for the use of the data we release and particularly welcome contributions that help make these resources more easily usable by others. In some cases, the data sources are quite large and might not be suitable for analysis on your personal computer. Wherever possible, we'll try to build examples that only ingest a small subset of data and/or point you to useful tools to help make larger scale analyses feasible or easier.</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>[Tips for working with SERP data]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">[</ins>[Tips for working with SERP data <ins style="font-weight: bold; text-decoration: none;">| SERPtips]</ins>]</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==Contribute==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==Contribute==</div></td></tr>
</table>Kayleahttps://wiki.communitydata.science/index.php?title=COVID-19_Digital_Observatory&diff=207442&oldid=prevKaylea: /* Get Help Using Data */2020-10-16T01:42:14Z<p><span dir="auto"><span class="autocomment">Get Help Using Data</span></span></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 02:42, 16 October 2020</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>We plan to develop tutorials and demos for the use of the data we release and particularly welcome contributions that help make these resources more easily usable by others. In some cases, the data sources are quite large and might not be suitable for analysis on your personal computer. Wherever possible, we'll try to build examples that only ingest a small subset of data and/or point you to useful tools to help make larger scale analyses feasible or easier.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>We plan to develop tutorials and demos for the use of the data we release and particularly welcome contributions that help make these resources more easily usable by others. In some cases, the data sources are quite large and might not be suitable for analysis on your personal computer. Wherever possible, we'll try to build examples that only ingest a small subset of data and/or point you to useful tools to help make larger scale analyses feasible or easier.</div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;"></ins></div></td></tr>
<tr><td colspan="2" class="diff-side-deleted"></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div><ins style="font-weight: bold; text-decoration: none;">[Tips for working with SERP data]</ins></div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==Contribute==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==Contribute==</div></td></tr>
</table>Kayleahttps://wiki.communitydata.science/index.php?title=COVID-19_Digital_Observatory&diff=206591&oldid=prevEfgan: /* Get Help Using Data */2020-09-15T02:54:12Z<p><span dir="auto"><span class="autocomment">Get Help Using Data</span></span></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 03:54, 15 September 2020</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>As we develop data collection resources and datasets, we will also provide simple example analysis scripts to demonstrate how you might access, import, and analyze small subsets of the data we produce. For instance, take a look at the [https://github.com/CommunityDataScienceCollective/COVID-19_Digital_Observatory/tree/master/wikipedia/example_analysis "example analysis" subdirectory] of the wikipedia section of our Github project. </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>As we develop data collection resources and datasets, we will also provide simple example analysis scripts to demonstrate how you might access, import, and analyze small subsets of the data we produce. For instance, take a look at the [https://github.com/CommunityDataScienceCollective/COVID-19_Digital_Observatory/tree/master/wikipedia/example_analysis "example analysis" subdirectory] of the wikipedia section of our Github project. </div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>We plan develop tutorials and demos for the use of the data we release and particularly welcome contributions that help make these resources more easily usable by others. In some cases, the data sources are quite large and might not be suitable for analysis on your personal computer. Wherever possible, we'll try to build examples that only ingest a small subset of data and/or point you to useful tools to help make larger scale analyses feasible or easier.</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>We plan <ins style="font-weight: bold; text-decoration: none;">to </ins>develop tutorials and demos for the use of the data we release and particularly welcome contributions that help make these resources more easily usable by others. In some cases, the data sources are quite large and might not be suitable for analysis on your personal computer. Wherever possible, we'll try to build examples that only ingest a small subset of data and/or point you to useful tools to help make larger scale analyses feasible or easier.</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==Contribute==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>==Contribute==</div></td></tr>
</table>Efganhttps://wiki.communitydata.science/index.php?title=COVID-19_Digital_Observatory&diff=206508&oldid=prevBenjamin Mako Hill: /* Keywords */2020-09-11T18:13:59Z<p><span dir="auto"><span class="autocomment">Keywords</span></span></p>
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 19:13, 11 September 2020</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>We currently use and provide three different types of keywords and search terms: </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>We currently use and provide three different types of keywords and search terms: </div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>* Article names/topics from Wikipedia's [[Wikipedia:WikiProject_COVID-19|WikiProject Covid-19]]</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>* Article names/topics from Wikipedia's [[<ins style="font-weight: bold; text-decoration: none;">:wikipedia:</ins>Wikipedia:WikiProject_COVID-19|WikiProject Covid-19]]</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Wikidata entities generated via the "Main items" described by Wikidata's [https://www.wikidata.org/wiki/Wikidata:WikiProject_COVID-19 WikiProject COVID-19]</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Wikidata entities generated via the "Main items" described by Wikidata's [https://www.wikidata.org/wiki/Wikidata:WikiProject_COVID-19 WikiProject COVID-19]</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Top 25 daily trending search terms from Google and Bing.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>* Top 25 daily trending search terms from Google and Bing.</div></td></tr>
</table>Benjamin Mako Hillhttps://wiki.communitydata.science/index.php?title=COVID-19_Digital_Observatory&diff=195239&oldid=prevJdfoote: /* Resources */ Seemed strange to me to have descriptions of each type of material, followed by descriptions of each type of material. :)2020-04-03T13:30:26Z<p><span dir="auto"><span class="autocomment">Resources: </span> Seemed strange to me to have descriptions of each type of material, followed by descriptions of each type of material. :)</span></p>
<table style="background-color: #fff; color: #202122;" data-mw="interface">
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<td colspan="2" style="background-color: #fff; color: #202122; text-align: center;">Revision as of 14:30, 3 April 2020</td>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>The digital observatory data, code, and other resources will exist in a few locations, all linked from this page. More details on the different datasets and sources follow below.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>The digital observatory data, code, and other resources will exist in a few locations, all linked from this page. More details on the different datasets and sources follow below.</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>Our initial releases should provide a good starting point for investigating social computing and social media content related COVID-19. We're currently releasing three types of material:</div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>Our initial releases should provide a good starting point for investigating social computing and social media content related COVID-19. We're currently releasing three types of material: <ins style="font-weight: bold; text-decoration: none;">code, keywords, and data.</ins></div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">;Code: We are releasing and inviting collaboration on all of the materials used to collect, parse, and publish our datasets. All of these material area being developed publicly.</del></div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">;Keywords: We are building and releasing a list of keywords generated by daily search trends, Wikidata entities, and translations into many languages based on Wikidata entity links. We plan to expand these offerings with new material including data from Twitter, Reddit, and localized content specific to particular geographic regions. We also plan to build infrastructure to provide rapid and frequent updates of datasets in a variety of forms.</del></div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">;Data: We area currently publishing static datasets (in raw text and structured formats like [[:wikipedia:Comma-separated values|CSV]], [[:wikipedia:Tab-separated values|TSV]] and [[:wikipedia:JSON|JSON]]) from Wikipedia as well as search engine results pages (SERPs) for a set of searches on COVID-19 relevant terms.</del></div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;"></del></div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div><del style="font-weight: bold; text-decoration: none;">Each are described below.</del></div></td><td colspan="2" class="diff-side-added"></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=== Code ===</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>=== Code ===</div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>For code used to produce the data and get started with analysis we have a [https://github.com/CommunityDataScienceCollective/COVID-19_Digital_Observatory github repository] where almost everything lives. If you want to get involved or start using our work please clone the repository! You'll find example analysis scripts that walk through downloading data directly into something like R and producing some minimal analysis to help you get started.</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>For code used to produce the data and get started with analysis we have a [https://github.com/CommunityDataScienceCollective/COVID-19_Digital_Observatory github repository] where almost everything lives. If you want to get involved or start using our work please clone the repository! You'll find example analysis scripts that walk through downloading data directly into something like R and producing some minimal analysis to help you get started.</div></td></tr>
</table>Jdfootehttps://wiki.communitydata.science/index.php?title=COVID-19_Digital_Observatory&diff=195226&oldid=prevAaronshaw: /* Overview and objectives */2020-04-02T20:52:25Z<p><span dir="auto"><span class="autocomment">Overview and objectives</span></span></p>
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<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Overview and objectives ==</div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>== Overview and objectives ==</div></td></tr>
<tr><td class="diff-marker" data-marker="−"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #ffe49c; vertical-align: top; white-space: pre-wrap;"><div>As people struggle to make sense of the COVID-19 pandemic, many turn to social media and [[:wikipedia:Social_computing|social computing systems]] to share information, to understand what's happening, and to find new ways to support one another. As scholars, scientists, technologists, and concerned members of the public, we are building a digital observatory to understand where and how people are talking about COVID-19-related topics. The observatory collects, aggregates, and distributes social data related to how people are responding to the ongoing public health crisis of COVID-19. The public datasets and freely licensed tools<del style="font-weight: bold; text-decoration: none;">, techniques, and knowledge </del>created through this project will allow researchers, practitioners, and public health officials to more efficiently <del style="font-weight: bold; text-decoration: none;">gather, analyze, </del>understand<del style="font-weight: bold; text-decoration: none;">, </del>and act to improve these crucial sources of information during crises. </div></td><td class="diff-marker" data-marker="+"></td><td style="color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #a3d3ff; vertical-align: top; white-space: pre-wrap;"><div>As people struggle to make sense of the COVID-19 pandemic, many turn to social media and [[:wikipedia:Social_computing|social computing systems]] to share information, to understand what's happening, and to find new ways to support one another. As scholars, scientists, technologists, and concerned members of the public, we are building a digital observatory to understand where and how people are talking about COVID-19-related topics. The observatory collects, aggregates, and distributes social data related to how people are responding to the ongoing public health crisis of COVID-19. The public datasets and freely licensed tools created through this project will allow researchers, practitioners, and public health officials to more efficiently understand and act to improve these crucial sources of information during crises. </div></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><br/></td></tr>
<tr><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>The public data we are focused on is available on public webpages and in public APIs but requires technical skills and computational resources that are less widely distributed than the ability to analyze data. In particular, we are attempting to make datasets that researchers can download and analyze on personal computers. </div></td><td class="diff-marker"></td><td style="background-color: #f8f9fa; color: #202122; font-size: 88%; border-style: solid; border-width: 1px 1px 1px 4px; border-radius: 0.33em; border-color: #eaecf0; vertical-align: top; white-space: pre-wrap;"><div>The public data we are focused on is available on public webpages and in public APIs but requires technical skills and computational resources that are less widely distributed than the ability to analyze data. In particular, we are attempting to make datasets that researchers can download and analyze on personal computers. </div></td></tr>
</table>Aaronshaw