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03219aam a2200469 i 4500 001 24DD7D94D80211ECB2BAAE9643ECA4DB 003 SILO 005 20220520010020 008 210914s2021 caua b 000 0 eng 010 $a 2021287745 020 $a 1977406890 020 $a 9781977406897 035 $a (OCoLC)1253457719 040 $a DLC $b eng $e rda $c DLC $d BDX $d YDX $d OCLCF $d RSM $d OCLCO $d SILO 042 $a pcc 043 $a n-us--- 050 00 $a JA85.2.U6 $b M3744 2021 082 04 $a 320.97301/4 $2 23 100 1 $a Marcellino, William, $e author. 245 10 $a Detecting conspiracy theories on social media : $b improving machine learning to detect and understand online conspiracy theories / $c William Marcellino, Todd C. Helmus, Joshua Kerrigan, Hilary Reininger, Rouslan I. Karimov, Rebecca Ann Lawrence. 264 1 $a Santa Monica, Calif. : $b RAND, National Security Research Division, $c [2021] 300 $a xxi, 85 pages : $b illustrations ; $c 23 cm 504 $a Includes bibliographical references (pages 73-85). 505 0 $a Introduction: Detecting and Understanding Online Conspiracy Language -- Making Sense of Conspiracy Theories -- Modeling Conspiracy Theories: A Hybrid Approach -- Conclusion and Recommendations -- Appendix A: Data and Methodology -- Appendix B: Stance: Text Analysis and Machine Learning. 520 $a Conspiracy theories circulated online via social media contribute to a shift in public discourse away from facts and analysis and can contribute to direct public harm. Social media platforms face a difficult technical and policy challenge in trying to mitigate harm from online conspiracy theory language. As part of Google's Jigsaw unit's effort to confront emerging threats and incubate new technology to help create a safer world, RAND researchers conducted a modeling effort to improve machine-learning (ML) technology for detecting conspiracy theory language. They developed a hybrid model using linguistic and rhetorical theory to boost performance. They also aimed to synthesize existing research on conspiracy theories using new insight from this improved modeling effort. This report describes the results of that effort and offers recommendations to counter the effects of conspiracy theories that are spread online. 650 0 $a Communication in politics $x Technological innovations $z United States. 650 0 $a Conspiracy theories $x Political aspects $z United States. 650 0 $a Conspiracy theories $z United States $x Psychological aspects. 650 0 $a Machine learning $x Technological innovations. 650 0 $a Social media $x Political aspects $z United States. 650 7 $a Communication in politics $x Technological innovations. $2 fast $0 (OCoLC)fst01983792 650 7 $a Social media $x Political aspects. $2 fast $0 (OCoLC)fst01983657 651 7 $a United States. $2 fast $0 (OCoLC)fst01204155 700 1 $a Helmus, Todd C., $e author. 700 1 $a Kerrigan, Joshua. 710 2 $a International Security and Defense Policy Center. 710 2 $a Google (Firm) 710 2 $a Rand Corporation. 941 $a 1 952 $l UNUX074 $d 20220520010559.0 956 $a http://locator.silo.lib.ia.us/search.cgi?index_0=id&term_0=24DD7D94D80211ECB2BAAE9643ECA4DB 994 $a Z0 $b NIUInitiate Another SILO Locator Search