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Antisemitism on Twitter: A Dataset for Machine Learning and Text Analytics

<h1><strong><span><span>Dataset from the Institute for the Study of Contemporary Antisemitism (ISCA) at Indiana University:&nbsp; </span></span></strong></h1> <p>&nbsp;</p> <div> <div> <p><span><span>The </span><span>Social Media</span><span> &amp; Hate research lab at the Institute for the Study of Contemporary Antisemitism compiled this dataset using an annotation portal (Jikeli, Soemer, and Karali 2024), which was used to label tweets as either antisemitic or non-antisemitic, among other labels. Note that annotation was done on live data, including images and context, such as threads. All data was annotated by two experts, and all discrepancies were discussed</span><span> (Jikeli et al. 2023)</span><span>.</span></span><span>&nbsp;</span></p> </div> </div> <p><br><strong>Content: </strong></p> <p><span><span>This dataset&nbsp;</span><span>contains</span> <span>1</span><span>1</span><span>311</span><span> tweets </span><span>covering</span><span>&nbsp;a wide range of topics common in conversations about Jews, Israel, and antisemitism between January 2019 and </span><span>April 2023</span><span>.&nbsp;</span><span>The dataset consists of random samples of relevant keywords during this </span><span>time period</span><span>.</span><span>&nbsp;1,</span><span>953</span><span> tweets (1</span><span>7</span><span>%) </span><span>are antisemitic </span><span>according to </span><span>the IHRA definition of antisemitism.</span><span>&nbsp;&nbsp;</span></span><span>&nbsp;</span></p> <div> <p><span><span>The distribution of tweets by year is as follows:</span><span>&nbsp;1499 (</span><span>13</span><span>%) from 2019, 371</span><span>2</span><span> (</span><span>33</span><span>%) from 2020, </span><span>2591</span><span> (2</span><span>3</span><span>%) from 2021</span><span>, 2644 from 2022 </span><span>(23%)</span> <span>and 865 </span><span>(8%)</span> <span>f</span><span>rom 2023</span><span>. </span><span>6365</span><span> (</span><span>56</span><span>%) </span><span>contain</span><span> the keyword "Jews,"</span><span> 4134 </span><span>(</span><span>3</span><span>7</span><span>%) include "Israel," 529 (</span><span>5</span><span>%) feature the derogatory term "</span><span>ZioNazi</span><span>*," and 283 (</span><span>3</span><span>%) use the slur "K---s." Some tweets may </span><span>contain</span><span> multiple keywords.&nbsp;</span></span><span>&nbsp;</span></p> </div> <div> <p><span><span>725</span><span> out of the </span><span>6365</span><span> tweets with the keyword "Jews" (11%) and </span><span>664</span><span> out of the </span><span>4134</span><span> tweets with the keyword "Israel" (1</span><span>6</span><span>%) were classified as antisemitic. 97 out of the 283 tweets using the antisemitic slur "K---s" (34%) are antisemitic.</span> <span>Interestingly, many tweets featuring the slur "K---s" actually </span><span>call out</span><span> its u</span><span>s</span><span>e.</span><span> In contrast, </span><span>the majority of</span><span> tweets </span><span>using</span><span> the derogatory term "</span><span>ZioNazi</span><span>*" are antisemitic, with 467 out of 529 (88%) being classified as such.&nbsp;</span></span><span>&nbsp;</span></p> </div> <p>&nbsp;</p> <p><strong>File Description:&nbsp;</strong></p> <div> <div> <p><span><span>The dataset is provided in a csv file format, with each row </span><span>representing</span><span> a single message, including replies, quotes, and retweets. The file </span><span>contains</span><span> the following columns:&nbsp;</span></span><span>&nbsp;</span></p> </div> <div> <p><span><span>&nbsp;</span></span><span><span>&nbsp;</span><br></span><span><span>&lsquo;ID&rsquo;:</span> <span>Represents</span><span> the tweet ID.&nbsp;</span></span><span>&nbsp;</span></p> </div> <div> <p><span><span>&lsquo;Username&rsquo;: </span><span>Represents</span><span> the username </span><span>that posted </span><span>the tweet</span><span>.&nbsp;&nbsp;</span></span><span>&nbsp;</span></p> </div> <div> <p><span><span>&lsquo;Text&rsquo;: </span><span>Represents</span><span> the full text of the tweet (not pre-processed).</span></span><span>&nbsp;</span></p> </div> <div> <p><span><span>&lsquo;</span><span>CreateDate</span><span>&rsquo;: </span><span>Represents</span><span> the date </span><span>on which </span><span>the tweet was created</span><span>.&nbsp;&nbsp;</span></span><span>&nbsp;</span></p> </div> <div> <p><span><span>&lsquo;Biased&rsquo;: </span><span>Represents</span><span> the label given by our annotations as to whether the tweet </span><span>is antisemitic or no</span><span>t</span><span>.</span></span><span>&nbsp;</span></p> </div> <div> <p><span><span>&lsquo;Keyword&rsquo;: </span><span>Represents</span><span> the keyword that was used in the query. The keyword can be in the text, including </span><span>hashtags, </span><span>mentioned </span><span>users</span><span>, or the username</span><span> itself.</span><span>&nbsp;&nbsp;</span></span><span>&nbsp;</span></p> </div> </div> <p>&nbsp;</p> <p>Licences&nbsp;</p> <p>Data is published under the terms of the "Creative Commons Attribution 4.0 International" licence (https://creativecommons.org/licenses/by/4.0)&nbsp;</p> <p>&nbsp;</p> <p>Acknowledgements&nbsp;</p> <p>We are grateful for the support of Indiana University&rsquo;s Observatory on Social Media (OSoMe) (Davis et al. 2016) and the contributions and annotations of all team members in our Social Media &amp; Hate Research Lab at Indiana University&rsquo;s Institute for the Study of Contemporary Antisemitism, especially Grace Bland, Elisha S. Breton, Kathryn Cooper, Robin Forstenh&auml;usler, Sophie von M&aacute;ri&aacute;ssy, Mabel Poindexter, Jenna Solomon, Clara Schilling, and Victor Tschiskale.&nbsp;</p> <p>This work used Jetstream2 at Indiana University through allocation HUM200003 from the Advanced Cyberinfrastructure Coordination Ecosystem: Services &amp; Support (ACCESS) program, which is supported by National Science Foundation grants #2138259, #2138286, #2138307, #2137603, and #2138296.</p>