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gtag('js',new Date());gtag('config','G-983V3P8SQ2',{});document.addEventListener('click',onClickCallback,false);</script><link rel=manifest href=/index.webmanifest><link rel=icon type=image/png href=/img/icon-32.png><link rel=apple-touch-icon type=image/png href=/img/icon-192.png><link rel=canonical href=https://www.behavioral-ds.science/reading/><meta property="twitter:card" content="summary_large_image"><meta property="og:site_name" content="Behavioral Data Science"><meta property="og:url" content="https://www.behavioral-ds.science/reading/"><meta property="og:title" content="Reading | Behavioral Data Science"><meta property="og:description" content><meta property="og:image" content="https://www.behavioral-ds.science/img/logo.png"><meta property="twitter:image" content="https://www.behavioral-ds.science/img/logo.png"><meta property="og:locale" content="en-us"><title>Reading | Behavioral Data Science</title></head><body id=top data-spy=scroll data-offset=70 data-target=#TableOfContents><aside class=search-results id=search><div class=container><section class=search-header><div class="row no-gutters justify-content-between mb-3"><div class=col-6><h1>Search</h1></div><div class="col-6 col-search-close"><a class=js-search href=#><i class="fas fa-times-circle text-muted" aria-hidden=true></i></a></div></div><div id=search-box><input name=q id=search-query placeholder=Search... autocapitalize=off autocomplete=off autocorrect=off spellcheck=false type=search></div></section><section class=section-search-results><div id=search-hits></div></section></div></aside><nav class="navbar navbar-expand-lg navbar-light compensate-for-scrollbar" id=navbar-main><div class=container style=max-width:93%><div class="d-none d-lg-inline-flex"><a class=navbar-brand href=/><img src=/img/logo.png alt="Behavioral Data Science"></a></div><button type=button class=navbar-toggler data-toggle=collapse data-target=#navbar-content aria-controls=navbar aria-expanded=false aria-label="Toggle navigation">
<span><i class="fas fa-bars"></i></span></button><div class="navbar-brand-mobile-wrapper d-inline-flex d-lg-none"><a class=navbar-brand href=/><img src=/img/logo.png alt="Behavioral Data Science"></a></div><div class="navbar-collapse main-menu-item collapse justify-content-end" id=navbar-content><ul class="navbar-nav d-md-inline-flex"><li class=nav-item><a class=nav-link href=/people><span>People</span></a></li><li class=nav-item><a class=nav-link href=/publication><span>Publications</span></a></li><li class="nav-item dropdown"><a href=/research class=nav-link aria-haspopup=true><span>Research</span><span class=caret></span></a><div class=dropdown-menu><a class=dropdown-item href=/research/#theme1><span>Information spread, influence and attention</span></a>
<a class=dropdown-item href=/research/#theme2><span>Disinformation and online problematic content</span></a>
<a class=dropdown-item href=/research/#theme3><span>The labour markets of tomorrow</span></a></div></li><li class=nav-item><a class=nav-link href=/news><span>News</span></a></li><li class=nav-item><a class="nav-link active" href=/reading><span>Reading</span></a></li><li class=nav-item><a class=nav-link href=/contact><span>Contact</span></a></li><li class=nav-item><a class=nav-link href=https://github.com/behavioral-ds target=_blank rel=noopener><span><i class="fab fa-github" style=color:#333;font-size:1rem></i></span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=#><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav><span class="js-widget-page d-none"></span><section id=reading class="home-section wg-blank"><div class=container><div class=row><div class=col-lg-12><h1>Reading Group</h1><p>A reference document used to keep track of the reading group meetings. Pull requests are welcome. <a href=https://zoom.uts.edu.au/j/89979742414>Meeting Link</a></p><h2 id=schedule-2024>Schedule 2024</h2><div><table><thead><tr><th>Date</th><th>Presenter</th><th>Paper</th><th>Why should we care</th><th>Appear in</th><th>Repo</th><th>Blogs</th></tr></thead><tbody><tr><td>22/01/24</td><td>Marian-Andrei Rizoiu</td><td><a href=https://arxiv.org/pdf/2308.10398.pdf>Causally estimating the effect of YouTube's recommender system using counterfactual bots</a></td><td>One of the first studies to estimate the effects of the YouTube recommender system on radicalisation using counterfactual viewing series, using bots.</td><td>arXiv</td><td></td><td></td></tr><tr><td>05/02/24</td><td>Rohit Ram</td><td>CA3 Dry Run</td><td></td><td></td><td></td><td></td></tr><tr><td>19/02/24</td><td>Elaine Gong</td><td><a href=https://aclanthology.org/2020.findings-emnlp.71.pdf>E-BERT: Efficient-Yet-Effective Entity Embeddings for BERT</a></td><td>It introduces E-BERT, which aligns Wikipedia2Vec entity vectors with BERT's wordpiece vector space, enabling the use of entity vectors as if they were wordpiece vectors.</td><td>Association for Computational Linguistics</td><td>2020</td><td></td></tr><tr><td>04/03/24</td><td>Pio Calderon</td><td><a href=https://proceedings.mlr.press/v216/boyd23a/boyd23a.pdf>Inference for Mark-Censored Temporal Point Processes</a></td><td>The paper introduces a marginalization technique to performance inference at prediction time for a trained marked temporal point process when presented with mark censoring.</td><td>UAI</td><td>2023</td><td></td></tr><tr><td>18/03/24</td><td>Frankie Yuan</td><td><a href=https://arxiv.org/pdf/2308.02080.pdf>Causality Guided Disentanglement for Cross-Platform Hate Speech Detection</a></td><td>The paper introduces a hate speech detection model that uses a VAE to extract causal embeddings separated into platform independent features useful for predicting presence of hate, and platform dependent features useful for predicting the target of hate.</td><td>WSDM 2024</td><td></td><td></td></tr><tr><td>01/04/24</td><td>&ndash;</td><td>No reading due to public holiday</td><td></td><td></td><td></td><td></td></tr><tr><td>15/04/24</td><td>Matthew Ghannoum</td><td>Auto-RPL Early Research Feedback</td><td></td><td></td><td></td><td></td></tr><tr><td>29/04/24</td><td>&ndash;</td><td>Canceled</td><td></td><td></td><td></td><td></td></tr><tr><td>15/05/24</td><td>Pio Calderon</td><td>ICWSM24 Lightning Talk Dry Run</td><td></td><td></td><td></td><td></td></tr><tr><td>29/05/24</td><td>&ndash;</td><td>Research showcase dry run</td><td></td><td></td><td></td><td></td></tr><tr><td>12/06/24</td><td>Lin Tian</td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>26/06/24</td><td>Elaine Gong</td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>10/07/24</td><td>Marian-Andrei Rizoiu</td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>24/07/24</td><td>Frankie Yuan</td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>07/08/24</td><td>Jooyoung Lee</td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>21/08/24</td><td>Lin Tian</td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>04/09/24</td><td>Marian-Andrei Rizoiu</td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>18/09/24</td><td>Elaine Gong</td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>02/10/24</td><td>Pio Calderon</td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>16/10/24</td><td>Frankie Yuan</td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>30/10/24</td><td>Jooyoung Lee</td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>13/11/24</td><td>Lin Tian</td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>27/11/24</td><td>Elaine Gong</td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>11/12/24</td><td>Marian-Andrei Rizoiu</td><td></td><td></td><td></td><td></td><td></td></tr></tbody></table></div><p><a href=/reading2023>2023 Archive</a></p><p><a href=/reading2022>2022 Archive</a></p><p><a href=/reading2021>2021 Archive</a></p></div></div></div></section><script src=https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin=anonymous></script><script src=https://cdnjs.cloudflare.com/ajax/libs/jquery.imagesloaded/4.1.4/imagesloaded.pkgd.min.js integrity="sha256-lqvxZrPLtfffUl2G/e7szqSvPBILGbwmsGE1MKlOi0Q=" crossorigin=anonymous></script><script src=https://cdnjs.cloudflare.com/ajax/libs/jquery.isotope/3.0.6/isotope.pkgd.min.js integrity="sha256-CBrpuqrMhXwcLLUd5tvQ4euBHCdh7wGlDfNz8vbu/iI=" crossorigin=anonymous></script><script src=https://cdnjs.cloudflare.com/ajax/libs/fancybox/3.5.7/jquery.fancybox.min.js integrity="sha256-yt2kYMy0w8AbtF89WXb2P1rfjcP/HTHLT7097U8Y5b8=" crossorigin=anonymous></script><script src=https://cdnjs.cloudflare.com/ajax/libs/highlight.js/9.15.10/highlight.min.js integrity="sha256-1zu+3BnLYV9LdiY85uXMzii3bdrkelyp37e0ZyTAQh0=" crossorigin=anonymous></script><script src=https://cdnjs.cloudflare.com/ajax/libs/highlight.js/9.15.10/languages/r.min.js></script><script src=https://cdnjs.cloudflare.com/ajax/libs/leaflet/1.5.1/leaflet.js integrity="sha256-EErZamuLefUnbMBQbsEqu1USa+btR2oIlCpBJbyD4/g=" crossorigin=anonymous></script><script>const code_highlighting=true;</script><script>const search_config={"indexURI":"/index.json","minLength":1,"threshold":0.3};const i18n={"no_results":"No results found","placeholder":"Search...","results":"results found"};const content_type={'post':"Posts",'project':"Projects",'publication':"Publications",'talk':"Talks"};</script><script id=search-hit-fuse-template type=text/x-template>
<a class=dropdown-item href=/research/#theme3><span>The labour markets of tomorrow</span></a></div></li><li class=nav-item><a class=nav-link href=/news><span>News</span></a></li><li class=nav-item><a class="nav-link active" href=/reading><span>Reading</span></a></li><li class=nav-item><a class=nav-link href=/contact><span>Contact</span></a></li><li class=nav-item><a class=nav-link href=https://github.com/behavioral-ds target=_blank rel=noopener><span><i class="fab fa-github" style=color:#333;font-size:1rem></i></span></a></li></ul></div><ul class="nav-icons navbar-nav flex-row ml-auto d-flex pl-md-2"><li class=nav-item><a class="nav-link js-search" href=#><i class="fas fa-search" aria-hidden=true></i></a></li></ul></div></nav><span class="js-widget-page d-none"></span><section id=reading class="home-section wg-blank"><div class=container><div class=row><div class=col-lg-12><h1>Reading Group</h1><p>A reference document used to keep track of the reading group meetings. Pull requests are welcome. <a href=https://zoom.uts.edu.au/j/89979742414>Meeting Link</a></p><h2 id=schedule-2024>Schedule 2024</h2><div><table><thead><tr><th>Date</th><th>Presenter</th><th>Paper</th><th>Why should we care</th><th>Appear in</th><th>Repo</th><th>Blogs</th></tr></thead><tbody><tr><td>22/01/24</td><td>Marian-Andrei Rizoiu</td><td><a href=https://arxiv.org/pdf/2308.10398.pdf>Causally estimating the effect of YouTube's recommender system using counterfactual bots</a></td><td>One of the first studies to estimate the effects of the YouTube recommender system on radicalisation using counterfactual viewing series, using bots.</td><td>arXiv</td><td></td><td></td></tr><tr><td>05/02/24</td><td>Rohit Ram</td><td>CA3 Dry Run</td><td></td><td></td><td></td><td></td></tr><tr><td>19/02/24</td><td>Elaine Gong</td><td><a href=https://aclanthology.org/2020.findings-emnlp.71.pdf>E-BERT: Efficient-Yet-Effective Entity Embeddings for BERT</a></td><td>It introduces E-BERT, which aligns Wikipedia2Vec entity vectors with BERT's wordpiece vector space, enabling the use of entity vectors as if they were wordpiece vectors.</td><td>Association for Computational Linguistics</td><td>2020</td><td></td></tr><tr><td>04/03/24</td><td>Pio Calderon</td><td><a href=https://proceedings.mlr.press/v216/boyd23a/boyd23a.pdf>Inference for Mark-Censored Temporal Point Processes</a></td><td>The paper introduces a marginalization technique to performance inference at prediction time for a trained marked temporal point process when presented with mark censoring.</td><td>UAI</td><td>2023</td><td></td></tr><tr><td>18/03/24</td><td>Frankie Yuan</td><td><a href=https://arxiv.org/pdf/2308.02080.pdf>Causality Guided Disentanglement for Cross-Platform Hate Speech Detection</a></td><td>The paper introduces a hate speech detection model that uses a VAE to extract causal embeddings separated into platform independent features useful for predicting presence of hate, and platform dependent features useful for predicting the target of hate.</td><td>WSDM 2024</td><td></td><td></td></tr><tr><td>01/04/24</td><td>&ndash;</td><td>No reading due to public holiday</td><td></td><td></td><td></td><td></td></tr><tr><td>15/04/24</td><td>Matthew Ghannoum</td><td>Auto-RPL Early Research Feedback</td><td></td><td></td><td></td><td></td></tr><tr><td>29/04/24</td><td>&ndash;</td><td>Canceled</td><td></td><td></td><td></td><td></td></tr><tr><td>15/05/24</td><td>Pio Calderon</td><td>ICWSM24 Lightning Talk Dry Run</td><td></td><td></td><td></td><td></td></tr><tr><td>29/05/24</td><td>&ndash;</td><td>Research showcase dry run</td><td></td><td></td><td></td><td></td></tr><tr><td>12/06/24</td><td>Lin Tian</td><td>Adaptable Transfer Learning Models for Online Misinformation Detection</td><td></td><td></td><td></td><td></td></tr><tr><td>26/06/24</td><td>Elaine Gong</td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>10/07/24</td><td>Marian-Andrei Rizoiu</td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>24/07/24</td><td>Frankie Yuan</td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>07/08/24</td><td>Jooyoung Lee</td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>21/08/24</td><td>Lin Tian</td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>04/09/24</td><td>Marian-Andrei Rizoiu</td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>18/09/24</td><td>Elaine Gong</td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>02/10/24</td><td>Pio Calderon</td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>16/10/24</td><td>Frankie Yuan</td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>30/10/24</td><td>Jooyoung Lee</td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>13/11/24</td><td>Lin Tian</td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>27/11/24</td><td>Elaine Gong</td><td></td><td></td><td></td><td></td><td></td></tr><tr><td>11/12/24</td><td>Marian-Andrei Rizoiu</td><td></td><td></td><td></td><td></td><td></td></tr></tbody></table></div><p><a href=/reading2023>2023 Archive</a></p><p><a href=/reading2022>2022 Archive</a></p><p><a href=/reading2021>2021 Archive</a></p></div></div></div></section><script src=https://cdnjs.cloudflare.com/ajax/libs/jquery/3.4.1/jquery.min.js integrity="sha256-CSXorXvZcTkaix6Yvo6HppcZGetbYMGWSFlBw8HfCJo=" crossorigin=anonymous></script><script src=https://cdnjs.cloudflare.com/ajax/libs/jquery.imagesloaded/4.1.4/imagesloaded.pkgd.min.js integrity="sha256-lqvxZrPLtfffUl2G/e7szqSvPBILGbwmsGE1MKlOi0Q=" crossorigin=anonymous></script><script src=https://cdnjs.cloudflare.com/ajax/libs/jquery.isotope/3.0.6/isotope.pkgd.min.js integrity="sha256-CBrpuqrMhXwcLLUd5tvQ4euBHCdh7wGlDfNz8vbu/iI=" crossorigin=anonymous></script><script src=https://cdnjs.cloudflare.com/ajax/libs/fancybox/3.5.7/jquery.fancybox.min.js 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2 changes: 1 addition & 1 deletion reading/reading_group_schedule.csv
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29/04/24,--,Canceled,,,,
15/05/24,Pio Calderon,ICWSM24 Lightning Talk Dry Run,,,,
29/05/24,--,Research showcase dry run,,,,
12/06/24,Lin Tian,,,,,
12/06/24,Lin Tian,Adaptable Transfer Learning Models for Online Misinformation Detection,,,,
26/06/24,Elaine Gong,,,,,
10/07/24,Marian-Andrei Rizoiu,,,,,
24/07/24,Frankie Yuan,,,,,
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