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"content": "<p>Hi Mastodon! I do research on <a href=\"https://techhub.social/tags/misinformation\" class=\"mention hashtag\" rel=\"tag\">#<span>misinformation</span></a> <a href=\"https://techhub.social/tags/fakenews\" class=\"mention hashtag\" rel=\"tag\">#<span>fakenews</span></a> <a href=\"https://techhub.social/tags/socialmedia\" class=\"mention hashtag\" rel=\"tag\">#<span>socialmedia</span></a> & <a href=\"https://techhub.social/tags/polarization\" class=\"mention hashtag\" rel=\"tag\">#<span>polarization</span></a> at MIT. For example, I've found that<br />(i) people online are often distracted from thinking about accuracy s/t shifting attention back to accuracy increases the quality of news shared - see for example <a href=\"https://www.nature.com/articles/s41586-021-03344-2\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">nature.com/articles/s41586-021</span><span class=\"invisible\">-03344-2</span></a><br />(ii) the wisdom of crowds can be harnessed to identify misinfo at scale - see for example <a href=\"https://www.science.org/doi/10.1126/sciadv.abf4393\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">science.org/doi/10.1126/sciadv</span><span class=\"invisible\">.abf4393</span></a></p><p>I mostly post about new research on those topics, and occasionally about <a href=\"https://techhub.social/tags/punkrock\" class=\"mention hashtag\" rel=\"tag\">#<span>punkrock</span></a> bands. For an overview of our research check out this doc: <a href=\"https://docs.google.com/document/u/0/d/1k2D4zVqkSHB1M9wpXtAe3UzbeE0RPpD_E2UpaPf6Lds/mobilebasic\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">docs.google.com/document/u/0/d</span><span class=\"invisible\">/1k2D4zVqkSHB1M9wpXtAe3UzbeE0RPpD_E2UpaPf6Lds/mobilebasic</span></a></p>",
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"en": "<p>Hi Mastodon! I do research on <a href=\"https://techhub.social/tags/misinformation\" class=\"mention hashtag\" rel=\"tag\">#<span>misinformation</span></a> <a href=\"https://techhub.social/tags/fakenews\" class=\"mention hashtag\" rel=\"tag\">#<span>fakenews</span></a> <a href=\"https://techhub.social/tags/socialmedia\" class=\"mention hashtag\" rel=\"tag\">#<span>socialmedia</span></a> & <a href=\"https://techhub.social/tags/polarization\" class=\"mention hashtag\" rel=\"tag\">#<span>polarization</span></a> at MIT. For example, I've found that<br />(i) people online are often distracted from thinking about accuracy s/t shifting attention back to accuracy increases the quality of news shared - see for example <a href=\"https://www.nature.com/articles/s41586-021-03344-2\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">nature.com/articles/s41586-021</span><span class=\"invisible\">-03344-2</span></a><br />(ii) the wisdom of crowds can be harnessed to identify misinfo at scale - see for example <a href=\"https://www.science.org/doi/10.1126/sciadv.abf4393\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">science.org/doi/10.1126/sciadv</span><span class=\"invisible\">.abf4393</span></a></p><p>I mostly post about new research on those topics, and occasionally about <a href=\"https://techhub.social/tags/punkrock\" class=\"mention hashtag\" rel=\"tag\">#<span>punkrock</span></a> bands. For an overview of our research check out this doc: <a href=\"https://docs.google.com/document/u/0/d/1k2D4zVqkSHB1M9wpXtAe3UzbeE0RPpD_E2UpaPf6Lds/mobilebasic\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"ellipsis\">docs.google.com/document/u/0/d</span><span class=\"invisible\">/1k2D4zVqkSHB1M9wpXtAe3UzbeE0RPpD_E2UpaPf6Lds/mobilebasic</span></a></p>"
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"content": "<p>🚨Out in PNAS!🚨<br /><a href=\"https://www.pnas.org/eprint/AWU8WZ9GVGPPGP9FJT3D/full\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">pnas.org/eprint/AWU8WZ9GVGPPGP</span><span class=\"invisible\">9FJT3D/full</span></a></p><p><a href=\"https://techhub.social/tags/Political\" class=\"mention hashtag\" rel=\"tag\">#<span>Political</span></a> <a href=\"https://techhub.social/tags/microtargeting\" class=\"mention hashtag\" rel=\"tag\">#<span>microtargeting</span></a> has become a topic of great concern (eg Cambridge Analytica) But does it actually WORK? To find out, we ran a large-scale experiment to quantify the persuasive advantage of political microtargeting for US issue advocacy campaigns</p><p>The answer is complicated... </p><p>We find a sizable benefit of <a href=\"https://techhub.social/tags/targeting\" class=\"mention hashtag\" rel=\"tag\">#<span>targeting</span></a> (~70% more persuasive than showing everyone the best overall message) - but little additional benefit from *micro*targeting on numerous different characteristics simultaneously</p><p>Our study used a 2-step process. First, we trained machine learning models on experimental data to learn which messages are most persuasive/for whom. </p><p>Then, we recruited 5k new people randomized them into [Control; Random message; Best overall message; or Microtargeted message, chosen by training targeting model on 1, 2, or 4 different participant characteristics] & compared persuasion across conditions.</p><p>Give the paper a read to see details!</p>",
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"en": "<p>🚨Out in PNAS!🚨<br /><a href=\"https://www.pnas.org/eprint/AWU8WZ9GVGPPGP9FJT3D/full\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://www.</span><span class=\"ellipsis\">pnas.org/eprint/AWU8WZ9GVGPPGP</span><span class=\"invisible\">9FJT3D/full</span></a></p><p><a href=\"https://techhub.social/tags/Political\" class=\"mention hashtag\" rel=\"tag\">#<span>Political</span></a> <a href=\"https://techhub.social/tags/microtargeting\" class=\"mention hashtag\" rel=\"tag\">#<span>microtargeting</span></a> has become a topic of great concern (eg Cambridge Analytica) But does it actually WORK? To find out, we ran a large-scale experiment to quantify the persuasive advantage of political microtargeting for US issue advocacy campaigns</p><p>The answer is complicated... </p><p>We find a sizable benefit of <a href=\"https://techhub.social/tags/targeting\" class=\"mention hashtag\" rel=\"tag\">#<span>targeting</span></a> (~70% more persuasive than showing everyone the best overall message) - but little additional benefit from *micro*targeting on numerous different characteristics simultaneously</p><p>Our study used a 2-step process. First, we trained machine learning models on experimental data to learn which messages are most persuasive/for whom. </p><p>Then, we recruited 5k new people randomized them into [Control; Random message; Best overall message; or Microtargeted message, chosen by training targeting model on 1, 2, or 4 different participant characteristics] & compared persuasion across conditions.</p><p>Give the paper a read to see details!</p>"
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"content": "<p>"Understanding and combatting <a href=\"https://techhub.social/tags/misinformation\" class=\"mention hashtag\" rel=\"tag\">#<span>misinformation</span></a> across 16 countries on six continents" out today in Nature Human Behavior! There have been a huge number of msinfo-related studies in the past 5 or so years, but almost all of them have been US/Western populations. So here we examined the <a href=\"https://techhub.social/tags/psychology\" class=\"mention hashtag\" rel=\"tag\">#<span>psychology</span></a> of <a href=\"https://techhub.social/tags/misinformation\" class=\"mention hashtag\" rel=\"tag\">#<span>misinformation</span></a>, and the effectiveness of various <a href=\"https://techhub.social/tags/interventions\" class=\"mention hashtag\" rel=\"tag\">#<span>interventions</span></a>, across 16 countries (total N=34k). </p><p>We find: <br />➤Consistent <a href=\"https://techhub.social/tags/cognitive\" class=\"mention hashtag\" rel=\"tag\">#<span>cognitive</span></a>, <a href=\"https://techhub.social/tags/social\" class=\"mention hashtag\" rel=\"tag\">#<span>social</span></a> & <a href=\"https://techhub.social/tags/ideological\" class=\"mention hashtag\" rel=\"tag\">#<span>ideological</span></a> predictors of misinfo belief across countries<br />➤Interventions (accuracy prompts, digital literacy tips, using crowdsourcing to identify misinfo) are all broadly effective across countries</p><p>Give it a read and let me know what you think! <a href=\"https://rdcu.be/dfGtT\" target=\"_blank\" rel=\"nofollow noopener noreferrer\" translate=\"no\"><span class=\"invisible\">https://</span><span class=\"\">rdcu.be/dfGtT</span><span class=\"invisible\"></span></a></p>",
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