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\n\n \n \n \n \n \n \n Television, Authoritarianism, and Support for Trump: A Replication.\n \n \n \n \n\n\n \n Hermann, E.; Morgan, M.; Shanahan, J.; and Yan, H. Y.\n\n\n \n\n\n\n
Public Opinion Quarterly, 87(2): 389–401. 2023.\n
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@article{Yan23television,\n\tauthor = {Erik Hermann and Michael Morgan and James Shanahan and Yan, Harry Yaojun},\n\tdate-added = {2023-12-07 13:03:23 -0500},\n\tdate-modified = {2023-12-07 13:07:17 -0500},\n\tdoi = {10.1093/poq/nfad015},\n\tjournal = {Public Opinion Quarterly},\n\tkeywords = {media osome},\n\tnumber = {2},\n\tpages = {389--401},\n\ttitle = {{Television, Authoritarianism, and Support for Trump: A Replication}},\n\turl = {https://doi.org/10.1093/poq/nfad015},\n\tvolume = {87},\n\tyear = {2023},\n\tbdsk-url-1 = {https://doi.org/10.1093/poq/nfad015}}\n\n
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\n\n \n \n \n \n \n \n The awkward semantics of Facebook reactions.\n \n \n \n \n\n\n \n Paolillo, J. C.\n\n\n \n\n\n\n
First Monday, 28(8). 2023.\n
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@article{Paolillo_2023_FB,\n\tauthor = {Paolillo, John C.},\n\tdate-added = {2023-11-10 20:10:00 -0500},\n\tdate-modified = {2023-11-10 20:20:31 -0500},\n\tdoi = {10.5210/fm.v28i8.13157},\n\tjournal = {First Monday},\n\tkeywords = {osome social nan},\n\tnumber = {8},\n\ttitle = {{The awkward semantics of Facebook reactions}},\n\turl = {https://doi.org/10.5210/fm.v28i8.13157},\n\tvolume = {28},\n\tyear = {2023},\n\tbdsk-url-1 = {https://firstmonday.org/ojs/index.php/fm/article/view/13157},\n\tbdsk-url-2 = {https://doi.org/10.5210/fm.v28i8.13157}}\n\n
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\n\n \n \n \n \n \n \n Factuality Challenges in the Era of Large Language Models.\n \n \n \n \n\n\n \n Augenstein, I.; Baldwin, T.; Cha, M.; Chakraborty, T.; Ciampaglia, G. L.; Corney, D.; DiResta, R.; Ferrara, E.; Hale, S.; Halevy, A.; Hovy, E.; Ji, H.; Menczer, F.; Miguez, R.; Nakov, P.; Scheufele, D.; Sharma, S.; and Zagni, G.\n\n\n \n\n\n\n Technical Report 2310.05189, arXiv, 2023.\n
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@techreport{AI-factuality,\n\tauthor = {Isabelle Augenstein and Timothy Baldwin and Meeyoung Cha and Tanmoy Chakraborty and Giovanni Luca Ciampaglia and David Corney and Renee DiResta and Emilio Ferrara and Scott Hale and Alon Halevy and Eduard Hovy and Heng Ji and Filippo Menczer and Ruben Miguez and Preslav Nakov and Dietram Scheufele and Shivam Sharma and Giovanni Zagni},\n\tdate-added = {2023-10-10 17:46:01 -0400},\n\tdate-modified = {2023-10-10 17:48:11 -0400},\n\tdoi = {10.48550/arXiv.2310.05189},\n\tinstitution = {arXiv},\n\tkeywords = {myown abuse osome web social agents},\n\tnumber = {2310.05189},\n\ttitle = {Factuality Challenges in the Era of Large Language Models},\n\ttype = {Preprint},\n\turl = {https://doi.org/10.48550/arXiv.2310.05189},\n\tyear = {2023},\n\tbdsk-url-1 = {https://doi.org/10.48550/arXiv.2310.05189}}\n\n
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\n\n \n \n \n \n \n \n Emergent local structures in an ecosystem of social bots and humans on Twitter.\n \n \n \n \n\n\n \n Alrhmoun, A.; and Kertész, J.\n\n\n \n\n\n\n
EPJ Data Science, 12: 39. 2023.\n
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@article{Alrhmoun2023bots,\n\tabstract = {Bots in online social networks can be used for good or bad but their presence is unavoidable and will increase in the future. To investigate how the interaction networks of bots and humans evolve, we created six social bots on Twitter with AI language models and let them carry out standard user operations. Three different strategies were implemented for the bots: a trend-targeting strategy (TTS), a keywords-targeting strategy (KTS) and a user-targeting strategy (UTS). We examined the interaction patterns such as targeting users, spreading messages, propagating relationships, and engagement. We focused on the emergent local structures or motifs and found that the strategies of the social bots had a significant impact on them. Motifs resulting from interactions with bots following TTS or KTS are simple and show significant overlap, while those resulting from interactions with UTS-governed bots lead to more complex motifs. These findings provide insights into human-bot interaction patterns in online social networks, and can be used to develop more effective bots for beneficial tasks and to combat malicious actors.},\n\tauthor = {Alrhmoun, Abdullah and Kert{\\'e}sz, J{\\'a}nos},\n\tdate-added = {2023-09-23 17:07:42 -0400},\n\tdate-modified = {2023-09-23 17:08:58 -0400},\n\tdoi = {10.1140/epjds/s13688-023-00406-5},\n\tjournal = {EPJ Data Science},\n\tkeywords = {abuse agents nan networks osome social},\n\tpages = {39},\n\ttitle = {Emergent local structures in an ecosystem of social bots and humans on Twitter},\n\turl = {https://doi.org/10.1140/epjds/s13688-023-00406-5},\n\tvolume = {12},\n\tyear = {2023},\n\tbdsk-url-1 = {https://doi.org/10.1140/epjds/s13688-023-00406-5}}\n\n
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\n Bots in online social networks can be used for good or bad but their presence is unavoidable and will increase in the future. To investigate how the interaction networks of bots and humans evolve, we created six social bots on Twitter with AI language models and let them carry out standard user operations. Three different strategies were implemented for the bots: a trend-targeting strategy (TTS), a keywords-targeting strategy (KTS) and a user-targeting strategy (UTS). We examined the interaction patterns such as targeting users, spreading messages, propagating relationships, and engagement. We focused on the emergent local structures or motifs and found that the strategies of the social bots had a significant impact on them. Motifs resulting from interactions with bots following TTS or KTS are simple and show significant overlap, while those resulting from interactions with UTS-governed bots lead to more complex motifs. These findings provide insights into human-bot interaction patterns in online social networks, and can be used to develop more effective bots for beneficial tasks and to combat malicious actors.\n
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\n\n \n \n \n \n \n \n Addressing the harms of AI-generated inauthentic content.\n \n \n \n \n\n\n \n Menczer, F.; Crandall, D.; Ahn, Y.; and Kapadia, A.\n\n\n \n\n\n\n
Nature Machine Intelligence, 5(7): 679–680. 2023.\n
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@article{Menczer2023AI-harms,\n\tauthor = {Menczer, Filippo and Crandall, David and Ahn, Yong-Yeol and Kapadia, Apu},\n\tdate-added = {2023-07-12 14:19:18 -0800},\n\tdate-modified = {2023-12-26 15:38:51 -0900},\n\tdoi = {10.1038/s42256-023-00690-w},\n\tjournal = {Nature Machine Intelligence},\n\tkeywords = {myown abuse web social osome similarity},\n\tnumber = {7},\n\tpages = {679--680},\n\ttitle = {{Addressing the harms of AI-generated inauthentic content}},\n\turl = {https://rdcu.be/dgGfk},\n\tvolume = {5},\n\tyear = {2023},\n\tbdsk-url-1 = {https://rdcu.be/dgGfk},\n\tbdsk-url-2 = {https://doi.org/10.1038/s42256-023-00690-w}}\n\n
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\n\n \n \n \n \n \n \n The Inexplicable Efficacy of Language Models.\n \n \n \n \n\n\n \n Aiyappa, R.; and Kachwala, Z.\n\n\n \n\n\n\n
XRDS, 29(3): 60—62. 2023.\n
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@article{AiyappaKachwala2023,\n\tauthor = {Aiyappa, Rachith and Kachwala, Zoher},\n\tdate-added = {2023-04-17 00:50:17 -0400},\n\tdate-modified = {2023-04-17 00:56:05 -0400},\n\tdoi = {10.1145/3589654},\n\tjournal = {XRDS},\n\tkeywords = {nan similarity networks osome},\n\tnumber = {3},\n\tpages = {60---62},\n\ttitle = {The Inexplicable Efficacy of Language Models},\n\turl = {https://doi.org/10.1145/3589654},\n\tvolume = {29},\n\tyear = {2023},\n\tbdsk-url-1 = {https://doi-org.proxyiub.uits.iu.edu/10.1145/3589654},\n\tbdsk-url-2 = {https://doi.org/10.1145/3589654}}\n\n
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\n\n \n \n \n \n \n \n Large language models can rate news outlet credibility.\n \n \n \n \n\n\n \n Yang, K.; and Menczer, F.\n\n\n \n\n\n\n Technical Report 2304.00228, arXiv, 2023.\n
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@techreport{Yang2023LLM-rate-news,\n\tauthor = {Kai-Cheng Yang and Filippo Menczer},\n\tdate-added = {2023-04-03 23:02:50 -0400},\n\tdate-modified = {2023-08-01 16:58:49 -0400},\n\tdoi = {10.48550/arXiv.2304.00228},\n\tinstitution = {arXiv},\n\tkeywords = {myown abuse osome web},\n\tnumber = {2304.00228},\n\ttitle = {Large language models can rate news outlet credibility},\n\ttype = {Preprint},\n\turl = {https://doi.org/10.48550/arXiv.2304.00228},\n\tyear = {2023},\n\tbdsk-url-1 = {https://arxiv.org/abs/2304.00228}}\n\n
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\n\n \n \n \n \n \n \n Automating Terror: The Role and Impact of Telegram Bots in the Islamic State's Online Ecosystem.\n \n \n \n \n\n\n \n Alrhmoun, A.; Winter, C.; and Kertész, J.\n\n\n \n\n\n\n
Terrorism and Political Violence. 2023.\n
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@article{Alrhmoun23TelegramBotsISIS,\n\tauthor = {Abdullah Alrhmoun and Charlie Winter and J{\\'a}nos Kert{\\'e}sz},\n\tdate-added = {2023-02-07 16:12:52 -0500},\n\tdate-modified = {2023-02-07 16:16:10 -0500},\n\tdoi = {10.1080/09546553.2023.2169141},\n\tjournal = {Terrorism and Political Violence},\n\tkeywords = {abuse nan networks osome social traffic},\n\ttitle = {Automating Terror: The Role and Impact of Telegram Bots in the Islamic State's Online Ecosystem},\n\turl = {https://doi.org/10.1080/09546553.2023.2169141},\n\tyear = {2023},\n\tbdsk-url-1 = {https://doi.org/10.1080/09546553.2023.2169141}}\n\n
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\n\n \n \n \n \n \n \n Towards measuring the burden of infodemics: Methods and results of the 5th WHO Infodemic Management Conference.\n \n \n \n \n\n\n \n Wilhelm, E.; Ballalai, I.; Belanger, M.; Benjamin, P.; Bertrand-Ferrandis, C.; Bezbaruah, S.; Briand, S.; Brooks, I.; Bruns, R.; Bucci, L. M; Calleja, N.; Chiou, H.; Devaria, A.; Dini, L.; D'Souza, H.; Dunn, A. G; Eichstaedt, J.; Evers, S.; Gobat, N.; Gissler, M.; Gonzales, I. C.; Gruzd, A.; Hess, S.; Ishizumi, A.; John, O.; Joshi, A.; Kaluza, B.; Khamis, N.; Kosinska, M.; Kulkarni, S.; Lingri, D.; Ludolph, R.; Mackey, T.; Mandić-Raj ̌cević, S.; Menczer, F.; Mudaliar, V.; Murthy, S.; Nazakat, S.; Nguyen, T.; Nilsen, J.; Pallari, E.; Taschner, N. P.; Petelos, E.; Prinstein, M. J; Roozenbeek, J.; Schneider, A.; Srinivasan, V.; Stevanović, A.; Strahwald, B.; Abdul, S. S.; Varaidzo, S. M.; van der Linden, S.; Voegeli, C.; Wardle, C.; Wegwarth, O.; White, B.; Willie, E.; Yau, B.; and Purnat, T. D\n\n\n \n\n\n\n
JMIR Infodemiology, 3: e44207. 2023.\n
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@article{WHO_infodemic5_2022,\n\tauthor = {Elisabeth Wilhelm and Isabella Ballalai and Marie-Eve Belanger and Peter Benjamin and Catherine Bertrand-Ferrandis and Supriya Bezbaruah and Sylvie Briand and Ian Brooks and Richard Bruns and Lucie M Bucci and Neville Calleja and Howard Chiou and Abhinav Devaria and Lorena Dini and Hyjel D'Souza and Adam G Dunn and Johannes Eichstaedt and Silvia Evers and Nina Gobat and Mika Gissler and Ian Christian Gonzales and Anatoliy Gruzd and Sarah Hess and Atsuyoshi Ishizumi and Oommen John and Ashish Joshi and Benjamin Kaluza and Nagwa Khamis and Monika Kosinska and Shibani Kulkarni and Dimitra Lingri and Ramona Ludolph and Tim Mackey and Stefan Mandi{\\'c}-Raj{\\v c}evi{\\'c} and Filippo Menczer and Vijaybabu Mudaliar and Shruti Murthy and Syed Nazakat and Tim Nguyen and Jennifer Nilsen and Elena Pallari and Natalia Pasternak Taschner and Elena Petelos and Mitchell J Prinstein and Jon Roozenbeek and Anton Schneider and Varadharajan Srinivasan and Aleksandar Stevanovi{\\'c} and Brigitte Strahwald and Shabbir Syed Abdul and Sandra Machiri Varaidzo and Sander van der Linden and Christopher Voegeli and Claire Wardle and Odette Wegwarth and Becky White and Estelle Willie and Brian Yau and Tina D Purnat},\n\tdate-added = {2023-01-25 10:30:26 -0500},\n\tdate-modified = {2023-02-20 18:27:10 -0500},\n\tdoi = {10.2196/44207},\n\tjournal = {JMIR Infodemiology},\n\tkeywords = {abuse myown osome social traffic},\n\tpages = {e44207},\n\ttitle = {{Towards measuring the burden of infodemics: Methods and results of the 5th WHO Infodemic Management Conference}},\n\turl = {https://doi.org/10.2196/44207},\n\tvolume = {3},\n\tyear = {2023},\n\tbdsk-url-1 = {https://doi.org/10.2196/44207}}\n\n
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\n\n \n \n \n \n \n \n A multi-platform collection of social media posts about the 2022 U.S. midterm elections.\n \n \n \n \n\n\n \n Aiyappa, R.; DeVerna, M. R.; Pote, M.; Truong, B. T.; Zhao, W.; Axelrod, D.; Pessianzadeh, A.; Kachwala, Z.; Kim, M.; Seckin, O. C.; Kim, M.; Gandhi, S.; Manikonda, A.; Pierri, F.; Menczer, F.; and Yang, K.\n\n\n \n\n\n\n In
Proc. International AAAI Conference on Web and Social Media (ICWSM), volume 17, pages 981–989, 2023. \n
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@inproceedings{DeVernaMEIU22,\n\tauthor = {Aiyappa, Rachith and DeVerna, Matthew R. and Pote, Manita and Truong, Bao Tran and Zhao, Wanying and Axelrod, David and Pessianzadeh, Aria and Kachwala, Zoher and Kim, Munjung and Seckin, Ozgur Can and Kim, Minsuk and Gandhi, Sunny and Manikonda, Amrutha and Pierri, Francesco and Menczer, Filippo and Yang, Kai-Cheng},\n\tbooktitle = {Proc. International AAAI Conference on Web and Social Media (ICWSM)},\n\tdate-added = {2023-01-23 01:49:12 -0500},\n\tdate-modified = {2023-07-12 14:18:41 -0800},\n\tdoi = {10.1609/icwsm.v17i1.22205},\n\tkeywords = {myown osome social traffic},\n\tnumber = {1},\n\tpages = {981--989},\n\ttitle = {{A multi-platform collection of social media posts about the 2022 U.S. midterm elections}},\n\turl = {https://doi.org/10.1609/icwsm.v17i1.22205},\n\tvolume = {17},\n\tyear = {2023},\n\tbdsk-url-1 = {https://arxiv.org/abs/2301.06287}}\n\n
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\n\n \n \n \n \n \n \n Exposure to social bots amplifies perceptual biases and regulation propensity.\n \n \n \n \n\n\n \n Yan, H. Y.; Yang, K.; Shanahan, J.; and Menczer, F.\n\n\n \n\n\n\n
Scientific Reports, 13: 20707. 2023.\n
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@article{Yan2022botbias,\n\tauthor = {Yan, Harry Yaojun and Yang, Kai-Cheng and James Shanahan and Filippo Menczer},\n\tdate-added = {2022-10-06 17:03:04 -0400},\n\tdate-modified = {2023-11-24 23:31:34 -0500},\n\tdoi = {10.1038/s41598-023-46630-x},\n\tjournal = {Scientific Reports},\n\tkeywords = {myown osome social abuse},\n\tpages = {20707},\n\ttitle = {Exposure to social bots amplifies perceptual biases and regulation propensity},\n\turl = {https://doi.org/10.1038/s41598-023-46630-x},\n\tvolume = {13},\n\tyear = {2023},\n\tbdsk-url-1 = {https://doi.org/10.31219/osf.io/ap2qf}}\n\n
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\n\n \n \n \n \n \n \n Can crowdsourcing rescue the social marketplace of ideas?.\n \n \n \n \n\n\n \n Yasseri, T.; and Menczer, F.\n\n\n \n\n\n\n
Comm. ACM, 66(9): 42–45. 2023.\n
Presented at CCS 2022; preprint https://doi.org/10.48550/arXiv.2104.13754\n\n
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@article{Yasseri2021Wiki,\n\tauthor = {Yasseri, Taha and Menczer, Filippo},\n\tdate-added = {2021-04-29 16:03:24 -0400},\n\tdate-modified = {2023-12-26 15:32:41 -0900},\n\tdoi = {10.1145/3578645},\n\tjournal = {Comm. ACM},\n\tkeywords = {abuse myown osome social crowdsourcing networks web},\n\tnote = {Presented at CCS 2022; preprint https://doi.org/10.48550/arXiv.2104.13754},\n\tnumber = {9},\n\tpages = {42--45},\n\ttitle = {Can crowdsourcing rescue the social marketplace of ideas?},\n\turl = {https://doi.org/10.1145/3578645},\n\tvolume = {66},\n\tyear = {2023},\n\tbdsk-url-1 = {https://doi.org/10.48550/arXiv.2104.13754}}\n\n
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\n\n \n \n \n \n \n \n Quantifying the Vulnerabilities of the Online Public Square to Adversarial Manipulation Tactics.\n \n \n \n \n\n\n \n Truong, B. T.; Lou, X.; Flammini, A.; and Menczer, F.\n\n\n \n\n\n\n Technical Report 1907.06130, arXiv, 2023.\n
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@techreport{Lou2019pollution,\n\tauthor = {Truong, Bao Tran and Xiaodan Lou and Alessandro Flammini and Filippo Menczer},\n\tdate-added = {2019-07-16 09:58:36 -0400},\n\tdate-modified = {2023-12-19 21:13:12 -0500},\n\tdoi = {10.48550/arXiv.1907.06130},\n\tinstitution = {arXiv},\n\tkeywords = {myown abuse agents networks social traffic osome},\n\tnumber = {1907.06130},\n\ttitle = {Quantifying the Vulnerabilities of the Online Public Square to Adversarial Manipulation Tactics},\n\ttype = {Preprint},\n\turl = {https://doi.org/10.48550/arXiv.1907.06130},\n\tyear = {2023},\n\tbdsk-url-1 = {https://arxiv.org/abs/1907.06130}}\n\n
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