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We explored cultural biases-individualism vs.
Experiments in intergroup discrimination
Henri Tajfel · 1970
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Social categorization and intergroup behaviour
Henri Tajfel, Michael G Billig, Robert P Bundy, and Claude Flament · 1971
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Social comparison and social identity: Some prospects for intergroup behaviour
John C Turner · 1975
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An integrative theory of intergroup conflict
Henri Tajfel, John C Turner, William G Austin, and Stephen Worchel · 1979
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Culture and organizations
Geert Hofstede · 1980
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The perception of variability within in-groups and out-groups: Implications for the law of small numbers
George A Quattrone and Edward E Jones · 1980
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The psychology of individualism
Alan S Waterman · 1984
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Out-group homogeneity: Judgments of variability at the individual and group levels
Charles M Judd and Bernadette Park · 1988
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Individualism-collectivism: Critique and proposed refinements
Shalom H Schwartz · 1990
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Social identity theory: Constructive and critical advances
Dominic Ed Abrams and Michael A Hogg · 1990
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Social identity and perceived group homogeneity: Evidence for the ingroup homogeneity effect
Bernd Simon and Thomas F Pettigrew · 1990
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Cultural variation in the self-concept
Hazel R Markus and Shinobu Kitayama · 1991
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The lens of personhood: Viewing the self and others in a multicultural society
Daphna Oyserman · 1993
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Stereotypes and social cognition
Jacques-Philippe Leyens, Vincent Yzerbyt, and Georges Schadron · 1994
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Cultural beliefs and the organization of society: A historical and theoretical reflection on collectivist and individualist societies
Avner Greif · 1994
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The measurement of independent and interdependent self-construals
Theodore M Singelis · 1994
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A theoretical framework for the study of diversity
Harry C Triandis · 1995
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Horizontal and vertical dimensions of individualism and collectivism: A theoretical and measurement refinement
Theodore M Singelis, Harry C Triandis, Dharm PS Bhawuk, and Michele J Gelfand · 1995
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Negative information weighs more heavily on the brain: the negativity bias in evaluative categorizations
Tiffany A Ito, Jeff T Larsen, N Kyle Smith, and John T Cacioppo · 1998
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The psychology of prejudice: Ingroup love or outgroup hate?, 55 j, 1999
Marilynn B Brewer · 1999
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Social discrimination and tolerance in intergroup relations: Reactions to intergroup difference
Amelie Mummendey and Michael Wenzel · 1999
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Milestones in the psychological analysis of social influence
William D Crano · 2000
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Negativity bias, negativity dominance, and contagion
Paul Rozin and Edward B Royzman · 2001
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Rethinking individualism and collectivism: evaluation of theoretical assumptions and meta-analyses
Daphna Oyserman, Heather M Coon, and Markus Kemmelmeier · 2002
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Let me count the ways in which i respect thee: Does competence compensate or compromise lack of liking from the group?
Russell Spears, Naomi Ellemers, and Bertjan Doosje · 2005
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Social identifications: A social psychology of intergroup relations and group processes
Dominic Abrams and Michael A Hogg · 2006
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“in-group love” and “out-group hate” as motives for individual participation in intergroup conflict: A new game paradigm
Nir Halevy, Gary Bornstein, and Lilach Sagiv · 2008
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Partisans without constraint: Political polarization and trends in american public opinion
Delia Baldassarri and Andrew Gelman · 2008
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Polarization and conflict: Theoretical and empirical issues, 2008
Joan Esteban and Gerald Schneider · 2008
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Collective narcissism and its social consequences
Agnieszka Golec de Zavala, Aleksandra Cichocka, Roy Eidelson, and Nuwan Jayawickreme · 2009
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Dynamic remodeling of in-group bias during the 2008 presidential election
David G Rand, Thomas Pfeiffer, Anna Dreber, Rachel W Sheketoff, Nils C Wernerfelt, and Yochai Benkler · 2009
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Perceptions of trustworthiness online: the role of visual and textual information
Catalina L Toma · 2010
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How are individualism and collectivism measured
Irina Cozma · 2011
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Political polarization on twitter
Michael Conover, Jacob Ratkiewicz, Matthew Francisco, Bruno Gonçalves, Filippo Menczer, and Alessandro Flammini · 2011
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“in-group love” and “out-group hate” in repeated interaction between groups
Nir Halevy, Ori Weisel, and Gary Bornstein · 2012
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The paradox of in-group love: Differentiating collective narcissism advances understanding of the relationship between in-group and out-group attitudes
Agnieszka Golec de Zavala, Aleksandra Cichocka, and Michał Bilewicz · 2013
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Fear among the extremes: How political ideology predicts negative emotions and outgroup derogation
Jan-Willem van Prooijen, André PM Krouwel, Max Boiten, and Lennart Eendebak · 2015
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Social identity theory
Michael A Hogg · 2016
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From primed concepts to action: A meta-analysis of the behavioral effects of incidentally presented words
Evan Weingarten, Qijia Chen, Maxwell McAdams, Jessica Yi, Justin Hepler, and Dolores Albarracín · 2016
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The rise of social bots
Emilio Ferrara, Onur Varol, Clayton Davis, Filippo Menczer, and Alessandro Flammini · 2016
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Behave: The biology of humans at our best and worst
Robert M Sapolsky · 2017
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The nature and origins of misperceptions: Understanding false and unsupported beliefs about politics
Daniel J Flynn, Brendan Nyhan, and Jason Reifler · 2017
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Quantifying search bias: Investigating sources of bias for political searches in social media
Juhi Kulshrestha, Motahhare Eslami, Johnnatan Messias, Muhammad Bilal Zafar, Saptarshi Ghosh, Krishna P Gummadi, and Karrie Karahalios · 2017
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In conversation with artificial intelligence: aligning language models with human values
Atoosa Kasirzadeh and Iason Gabriel · 2023
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Using large language models to simulate multiple humans and replicate human subject studies
Gati V Aher, Rosa I Arriaga, and Adam Tauman Kalai · 2023
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Do llms exhibit human-like response biases? a case study in survey design
Lindia Tjuatja, Valerie Chen, Sherry Tongshuang Wu, Ameet Talwalkar, and Graham Neubig · 2023
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Evaluating large language models in generating synthetic hci research data: a case study
Perttu Hämäläinen, Mikke Tavast, and Anton Kunnari · 2023
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Out of one, many: Using language models to simulate human samples
Lisa P Argyle, Ethan C Busby, Nancy Fulda, Joshua R Gubler, Christopher Rytting, and David Wingate · 2023
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Social media, political polarization, and political disinformation: A review of the scientific literature
Joshua A Tucker, Andrew Guess, Pablo Barberá, Cristian Vaccari, Alexandra Siegel, Sergey Sanovich, Denis Stukal, and Brendan Nyhan · 2018
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The spread of low-credibility content by social bots
Chengcheng Shao, Giovanni Luca Ciampaglia, Onur Varol, Kai-Cheng Yang, Alessandro Flammini, and Filippo Menczer · 2018
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Automation accuracy is good, but high controllability may be better
Quentin Roy, Futian Zhang, and Daniel Vogel · 2019
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Language models are few-shot learners
Tom Brown, Benjamin Mann, Nick Ryder, Melanie Subbiah, Jared D Kaplan, Prafulla Dhariwal, Arvind Neelakantan, Pranav Shyam, Girish Sastry, Amanda Askell, et al · 2020
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An information sampling explanation for the in-group heterogeneity effect
Elizaveta Konovalova and Gaël Le Mens · 2020
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How can we know what language models know?
Zhengbao Jiang, Frank F Xu, Jun Araki, and Graham Neubig · 2020
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Compassionate democrats and tough republicans: How ideology shapes partisan stereotypes
Scott Clifford · 2020
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Chatgpt outperforms crowd workers for text-annotation tasks
Fabrizio Gilardi, Meysam Alizadeh, and Maël Kubli · 2023
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Generative language models exhibit social identity biases
Tiancheng Hu, Yara Kyrychenko, Steve Rathje, Nigel Collier, Sander van der Linden, and Jon Roozenbeek · 2023
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Large language models show human-like content biases in transmission chain experiments
Alberto Acerbi and Joseph M Stubbersfield · 2023
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Multilingual language models are not multicultural: A case study in emotion
Shreya Havaldar, Bhumika Singhal, Sunny Rai, Langchen Liu, Sharath Chandra Guntuku, and Lyle Ungar · 2023
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Reem I Masoud, Ziquan Liu, Martin Ferianc, Philip Treleaven, and Miguel Rodrigues · 2023
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Is chat gpt biased against conservatives? an empirical study
Robert W McGee · 2023
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The political biases of chatgpt
David Rozado · 2023
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Co-writing with opinionated language models affects users’ views
Maurice Jakesch, Advait Bhat, Daniel Buschek, Lior Zalmanson, and Mor Naaman · 2023
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Social bot detection in the age of chatgpt: Challenges and opportunities
Emilio Ferrara · 2023
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Probing pre-trained language models for cross-cultural differences in values
Arnav Arora, Lucie-aimée Kaffee, and Isabelle Augenstein · 2023
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Gpt-4 technical report
R OpenAI · 2023
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Towards making the most of chatgpt for machine translation
Keqin Peng, Liang Ding, Qihuang Zhong, Li Shen, Xuebo Liu, Min Zhang, Yuanxin Ouyang, and Dacheng Tao · 2023
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Gemini: a family of highly capable multimodal models
Gemini Team, Rohan Anil, Sebastian Borgeaud, Yonghui Wu, Jean-Baptiste Alayrac, Jiahui Yu, Radu Soricut, Johan Schalkwyk, Andrew M Dai, Anja Hauth, et al · 2023
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Llama 2: Open foundation and fine-tuned chat models
Hugo Touvron, Louis Martin, Kevin Stone, Peter Albert, Amjad Almahairi, Yasmine Babaei, Nikolay Bashlykov, Soumya Batra, Prajjwal Bhargava, Shruti Bhosale, et al · 2023
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Using large language models in psychology
David S. Yeager Christopher J. Bryan Margarett Clapper Susannah Chandhok Johannes C. Eichstaedt Cameron Hecht Jeremy Jamieson Meghann Johnson Michaela Jones Danielle Krettek-Cobb Leslie Lai Nirel JonesMitchell Desmond C. Ong Carol S. Dweck James J. Gross & James W. Pennebaker Dorottya Demszky, Diyi Yang · 2023
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Large language models meet nl2code: A survey
Daoguang Zan, Bei Chen, Fengji Zhang, Dianjie Lu, Bingchao Wu, Bei Guan, Wang Yongji, and Jian-Guang Lou · 2023
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What is the difference between a democrat and a republican?, 2023
Merriam-Webster · 2023
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Correct me if i am wrong: Exploring how ai outputs affect user perception and trust
Jun Li Jeung and Janet Yi-Ching Huang · 2023
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Chatgpt: A comprehensive review on background, applications, key challenges, bias, ethics, limitations and future scope
Partha Pratim Ray · 2023
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Artificial intelligence can persuade humans on political issues
Jan G Voelkel, Robb Willer, et al · 2023
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S 3 S^{3} : Social-network simulation system with large language model-empowered agents
Chen Gao, Xiaochong Lan, Zhihong Lu, Jinzhu Mao, Jinghua Piao, Huandong Wang, Depeng Jin, and Yong Li · 2023
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Ai model gpt-3 (dis)informs us better than humans
Giovanni Spitale, Nikola Biller-Andorno, and Federico Germani · 2023
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Lost in transformation: Rediscovering llm-generated campaigns in social media
Britta Grimme, Janina Pohl, Hendrik Winkelmann, Lucas Stampe, and Christian Grimme · 2023
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Why johnny can’t prompt: how non-ai experts try (and fail) to design llm prompts
JD Zamfirescu-Pereira, Richmond Y Wong, Bjoern Hartmann, and Qian Yang · 2023
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Toward value scenario generation through large language models
Hyunggu Jung, Woosuk Seo, Seokwoo Song, and Sungmin Na · 2023
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Factuality challenges in the era of large language models
Isabelle Augenstein, Timothy Baldwin, Meeyoung Cha, Tanmoy Chakraborty, Giovanni Luca Ciampaglia, David Corney, Renee DiResta, Emilio Ferrara, Scott Hale, Alon Halevy, et al · 2023
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Towards interpretable mental health analysis with large language models
Kailai Yang, Shaoxiong Ji, Tianlin Zhang, Qianqian Xie, Ziyan Kuang, and Sophia Ananiadou · 2023
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Evaluating the performance of chatgpt in ophthalmology: An analysis of its successes and shortcomings
Fares Antaki, Samir Touma, Daniel Milad, Jonathan El-Khoury, and Renaud Duval · 2023
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Shaping the emerging norms of using large language models in social computing research
Hong Shen, Tianshi Li, Toby Jia-Jun Li, Joon Sung Park, and Diyi Yang · 2023
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Chatgpt banned in italy over privacy concerns
Shiona McCallum · 2023
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Should chatgpt be biased? challenges and risks of bias in large language models
Emilio Ferrara · 2023
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Platform (in) justice: A call for a global research agenda
Heesoo Jang, Narayanamoorthy Nanditha, Laura Schelenz, Lou Therese Brandner, Anne Burkhardt, Simon David Hirsbrunner, and Scott Timcke · 2023
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