11,171 research outputs found
Replication Data for Bail, Brown, and Wimmer, 2019 "Prestige, Proximity, and Prejudice:The Diffusion of Google Search Terms across 199 Countries, 2004-2014" American Journal of Sociology
No full textThis repo hosts the data and codebook for the following article: Bail, Christopher A., Taylor Brown, and Andreas Wimmer. 2019. "Prestige, Proximity, and Prejudice:The Diffusion of Google Search Terms across 199 Countries, 2004-2014." American Journal of Sociology 124(5). Please use this citation for any data usage
Replication Data for: Using Internet Search Data to Examine the Relationship between Anti-Muslim and Pro-ISIS Sentiment in U.S. Counties
No full textThis folder contains the replication files for the paper “Using Internet Search Data to Examine the Relationship between Anti-Muslim and Pro-ISIS Sentiment in U.S. Counties” by Christopher A. Bail, Friedolin Merhout, and Peng Ding, which appears in Science Advances, 2018
Replication Data for "Channeling Hearts and Minds: Advocacy Organizations, Cognitive-Emotional Currents, and Public Conversation
No full textThis folder contains the replication files for the paper “Channelling Hearts and Minds: Advocacy Organizations, Cognitive-Emotional Currents, and Public Conversation” by Christopher A. Bail, Taylor Brown, and Marcus Mann, which appears in the American Sociological Review, 2017.
These data describe the social media outreach of 82 autism and organ donation advocacy organizations on Facebook between 2011-2012 collected via a social media application that collected public and non-public data from the Facebook Application Programming Interface and surveyed representatives of the organization in order to obtain additional information on the size, resources, and tactics of the organization as it attempts to generate attention for its cause on social media.
ABSTRACT OF ARTICLE: Do advocacy organizations stimulate public conversation about social problems by engaging in rational debate, or by appealing to emotions? We argue that rational and emotional styles of communication ebb and flow within public discussions about social problems due to the alternating influence of social contagion and saturation effects. These “cognitive-emotional currents” create an opportunity structure whereby advocacy organizations stimulate more conversation if they produce emotional messages after prolonged rational debate or vice versa. We evaluate this hypothesis using automated text-analysis techniques that measure the frequency of cognitive and emotional language within two advocacy fields on Facebook over 1.5 years and a web-based application that offered these organizations a complimentary audit of their social media outreach in return for sharing non-public data about themselves, their social media audiences, and the broader social context in which they interact. Time-series models reveal strong support for our hypothesis, controlling for 33 confounding factors measured by our Facebook application. We conclude by discussing the implications of our findings for future research on public deliberation, how social contagions relate to each other, and the emerging field of computational social science
Replication Data for "Channeling Hearts and Minds: Advocacy Organizations, Cognitive-Emotional Currents, and Public Conversation
No full textThis folder contains the replication files for the paper “Channelling Hearts and Minds: Advocacy Organizations, Cognitive-Emotional Currents, and Public Conversation” by Christopher A. Bail, Taylor Brown, and Marcus Mann, which appears in the American Sociological Review, 2017.
These data describe the social media outreach of 82 autism and organ donation advocacy organizations on Facebook between 2011-2012 collected via a social media application that collected public and non-public data from the Facebook Application Programming Interface and surveyed representatives of the organization in order to obtain additional information on the size, resources, and tactics of the organization as it attempts to generate attention for its cause on social media.
ABSTRACT OF ARTICLE: Do advocacy organizations stimulate public conversation about social problems by engaging in rational debate, or by appealing to emotions? We argue that rational and emotional styles of communication ebb and flow within public discussions about social problems due to the alternating influence of social contagion and saturation effects. These “cognitive-emotional currents” create an opportunity structure whereby advocacy organizations stimulate more conversation if they produce emotional messages after prolonged rational debate or vice versa. We evaluate this hypothesis using automated text-analysis techniques that measure the frequency of cognitive and emotional language within two advocacy fields on Facebook over 1.5 years and a web-based application that offered these organizations a complimentary audit of their social media outreach in return for sharing non-public data about themselves, their social media audiences, and the broader social context in which they interact. Time-series models reveal strong support for our hypothesis, controlling for 33 confounding factors measured by our Facebook application. We conclude by discussing the implications of our findings for future research on public deliberation, how social contagions relate to each other, and the emerging field of computational social science
Replication Data for "Assessing the Russian Internet Agency's Impact on the Political Attitudes and Behaviors of U.S. Twitter Users in Late 2017" Proceedings of the National Academy of Sciences
No full textThis repository includes data from Bail et al.'s 2019 study "Assessing the Russian Internet Research Agency's Impact on the Political Attitudes and Behaviors of U.S. Twitter Users in Late 2017." The data describe six outcomes (four attitude measures and two behavioral measures) that were collected from surveys fielded for the authors by YouGov in October and November 2017 as well as a measure that describes whether respondents had direct or indirect interaction with accounts associated with the Russian Internet Research Agency by Twitter
Replication Data for "Assessing the Russian Internet Agency's Impact on the Political Attitudes and Behaviors of U.S. Twitter Users in Late 2017" Proceedings of the National Academy of Sciences
No full textThis repository includes data from Bail et al.'s 2019 study "Assessing the Russian Internet Research Agency's Impact on the Political Attitudes and Behaviors of U.S. Twitter Users in Late 2017." The data describe six outcomes (four attitude measures and two behavioral measures) that were collected from surveys fielded for the authors by YouGov in October and November 2017 as well as a measure that describes whether respondents had direct or indirect interaction with accounts associated with the Russian Internet Research Agency by Twitter
Replication Data for: Bail, Christopher A. 2016. "Combining Network Analysis and Natural Language Processing to Examine how Advocacy Organizations Stimulate Conversation on Social Media." Proceedings of the National Academy of Sciences, 113:42 11823-11828
No full textThese data describe the social media outreach of 82 autism and organ donation advocacy organizations on Facebook between 2011-2012 collected via a social media application that collected public and non-public data from the Facebook Application Programming Interface and surveyed representatives of the organization in order to obtain additional information on the size and resources of the organization as it attempts to generate attention for its cause on social media. The dataset also includes a variable created via a combination of natural language processing and social network analysis that are designed to explain why the messages of some advocacy organizations stimulate more public attention than others.
Please cite these data using the citation listed above.
ABSTRACT (of article)
Social media sites are rapidly becoming one of the most important forums for public deliberation about advocacy issues. However, social scientists have not explained why some advocacy organizations produce social media messages that inspire far-ranging conversation among social media users, whereas the vast majority of them receive little or no attention. I argue that advocacy organizations are more likely to inspire comments from new social media audiences if they create “cultural bridges,” or produce messages that combine conversational themes within an advocacy field that are seldom discussed together. I use natural language processing, network analysis, and a social media application to analyze how cultural bridges shaped public discourse about autism spectrum disorders on Facebook over the course of 1.5 years, controlling for various characteristics of advocacy organizations, their social media audiences, and the broader social context in which they interact. I show that organizations that create substantial cultural bridges provoke 2.52 times more comments about their messages from new social media users than those that do not, controlling for these factors. This study thus offers a theory of cultural messaging and public deliberation and computational techniques for text analysis and application-based survey research
Exposure to Opposing Views can Increase Political Polarization
No full textReplication materials for Bail et al. 2018 "Exposure to Opposing Views on Social Media can Increase Political Polarization." Proceedings of the National Academy of Sciences.
***NOTE: Some variables were coarsened using Statistical Disclosure Control Methods in order to protect anonymity of respondents because of risk of identification via social media meta data merged with survey responses***
ABSTRACT
There is mounting concern that social media sites contribute to
political polarization by creating “echo chambers” that insulate
people from opposing views about current events. We surveyed
a large sample of Democrats and Republicans who visit Twitter
at least three times each week about a range of social policy
issues. One week later, we randomly assigned respondents to a
treatment condition in which they were offered financial incentives
to follow a Twitter bot for 1 mo that exposed them to
messages from those with opposing political ideologies (e.g.,
elected officials, opinion leaders, media organizations, and nonprofit
groups). Respondents were resurveyed at the end of the
month to measure the effect of this treatment, and at regular
intervals throughout the study period to monitor treatment
compliance. We find that Republicans who followed a liberal
Twitter bot became substantially more conservative posttreatment.
Democrats exhibited slight increases in liberal attitudes
after following a conservative Twitter bot, although these effects
are not statistically significant. Notwithstanding important limitations
of our study, these findings have significant implications
for the interdisciplinary literature on political polarization and the
emerging field of computational social science
Exposure to Opposing Views can Increase Political Polarization
No full textReplication materials for Bail et al. 2018 "Exposure to Opposing Views on Social Media can Increase Political Polarization." Proceedings of the National Academy of Sciences.
***NOTE: Some variables were coarsened using Statistical Disclosure Control Methods in order to protect anonymity of respondents because of risk of identification via social media meta data merged with survey responses***
ABSTRACT
There is mounting concern that social media sites contribute to
political polarization by creating “echo chambers” that insulate
people from opposing views about current events. We surveyed
a large sample of Democrats and Republicans who visit Twitter
at least three times each week about a range of social policy
issues. One week later, we randomly assigned respondents to a
treatment condition in which they were offered financial incentives
to follow a Twitter bot for 1 mo that exposed them to
messages from those with opposing political ideologies (e.g.,
elected officials, opinion leaders, media organizations, and nonprofit
groups). Respondents were resurveyed at the end of the
month to measure the effect of this treatment, and at regular
intervals throughout the study period to monitor treatment
compliance. We find that Republicans who followed a liberal
Twitter bot became substantially more conservative posttreatment.
Democrats exhibited slight increases in liberal attitudes
after following a conservative Twitter bot, although these effects
are not statistically significant. Notwithstanding important limitations
of our study, these findings have significant implications
for the interdisciplinary literature on political polarization and the
emerging field of computational social science
Replication Data for: Perceived Gender and Political Persuasion: A Social Media Field Experiment during the 2020 Democratic National Primary.
No full textThis repository contains replication code and data for “Perceived Gender and Political Persuasion: A Social Media Field Experiment during the 2020 Democratic National Primary.” The folder `replication/data` contains the data files used in the analysis. We include only variables relevant to our study and used in the analysis, excluding personally identifying information. The code to produce these narrowed datasets is included but the raw files, which do include personally identifying information, are not included. The file `main_paper_replication.R` reproduces exactly Figures 2-4 along with the regression results. The code is easily modifiable to create the appendix results that add covariates and perform other robustness checks
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