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Data extracted from social media platforms, such as Twitter, are both large in scale and complex in nature, since they contain both unstructured text, as well as structured data, such as time stamps and interactions between users. A key…

Social and Information Networks · Computer Science 2014-11-17 Donggeng Xia , Shawn Mankad , George Michailidis

This paper reviews literature from 2011 to 2013 on how Latent attributes like gender, political leaning etc. can be inferred from a person's twitter and neighborhood data. Prediction of demographic data can bring value to businesses, can…

Social and Information Networks · Computer Science 2016-10-13 Surabhi Singh Ludu

Social media is very popular for facilitating conversations about important topics and bringing forth insights and issues related to these topics. Reddit serves as a platform that fosters social interactions and hosts engaging discussions…

Social and Information Networks · Computer Science 2024-12-03 Smriti Janaswamy , Jeremy Blackburn

When discussing difficult topics online, is it common to meaningfully engage with people from diverse perspectives? Why or why not? Could features of the online environment be redesigned to encourage civil conversation across difference? In…

Social and Information Networks · Computer Science 2024-09-09 Rijul Magu , Nivedhitha Mathan Kumar , Yihe Liu , Xander Koo , Diyi Yang , Amy Bruckman

Online ideology detection is crucial for downstream tasks, like countering ideologically motivated violent extremism and modeling opinion dynamics. However, two significant issues arise in practitioners' deployment. Firstly, gold-standard…

Computers and Society · Computer Science 2025-08-12 Rohit Ram , Emma Thomas , David Kernot , Marian-Andrei Rizoiu

Online data has the potential to transform how researchers and companies produce election forecasts. Social media surveys, online panels and even comments scraped from the internet can offer valuable insights into political preferences.…

Applications · Statistics 2025-03-20 Alberto Arletti , Maria Letizia Tanturri , Omar Paccagnella

Extremist ideologies are finding new homes in online forums. These serve as both places for true believers, and recruiting-grounds for curious newcomers. To understand how newcomers learn ideology online, we study the Reddit archives of a…

Social and Information Networks · Computer Science 2021-10-05 Chloe Perry , Simon DeDeo

In this paper, we present an empirical study of the opinion dynamics of a large-scale sample of online social network users. We estimate opinions of users as continuous scalars based on their subscriptions to information sources and analyze…

Social and Information Networks · Computer Science 2022-01-26 Ivan V. Kozitsin

Opinion evolution and judgment revision are mediated through social influence. Based on a large crowdsourced in vitro experiment (n=861), it is shown how a consensus model can be used to predict opinion evolution in online collective…

Social and Information Networks · Computer Science 2016-09-28 Corentin Vande Kerckhove , Samuel Martin , Pascal Gend , Peter J. Rentfrow , Julien M. Hendrickx , Vincent D. Blondel

Nowadays, internet has changed the world into a global village. Social Media has reduced the gaps among the individuals. Previously communication was a time consuming and expensive task between the people. Social Media has earned fame…

Social and Information Networks · Computer Science 2016-10-20 Saqib Iqbal , Ali Zulqurnain , Yaqoob Wani , Khalid Hussain

Public opinion is a crucial factor in shaping political decision-making. Nowadays, social media has become an essential platform for individuals to engage in political discussions and express their political views, presenting researchers…

Social and Information Networks · Computer Science 2023-04-25 Xingyu Peng , Zhenkun Zhou , Chong Zhang , Ke Xu

An ability to infer the political leaning of social media users can help in gathering opinion polls thereby leading to a better understanding of public opinion. While there has been a body of research attempting to infer the political…

Social and Information Networks · Computer Science 2023-12-05 Joseba Fernandez de Landa , Arkaitz Zubiaga , Rodrigo Agerri

Online communities provide a fertile ground for analyzing people's behavior and improving our understanding of social processes. Because both people and communities change over time, we argue that analyses of these communities that take…

Social and Information Networks · Computer Science 2016-04-19 Samuel Barbosa , Dan Cosley , Amit Sharma , Roberto M. Cesar-Jr

With increasing attention to online anti-social behaviors such as personal attacks and bigotry, it is critical to have an accurate accounting of how widespread anti-social behaviors are. In this paper, we empirically measure the prevalence…

Human-Computer Interaction · Computer Science 2022-08-30 Joon Sung Park , Joseph Seering , Michael S. Bernstein

Online forums provide rich environments where users may post questions and comments about different topics. Understanding how people behave in online forums may shed light on the fundamental mechanisms by which collective thinking emerges…

Social and Information Networks · Computer Science 2020-06-05 Alexey N. Medvedev , Renaud Lambiotte , Jean-Charles Delvenne

The United States have some of the highest rates of gun violence among developed countries. Yet, there is a disagreement about the extent to which firearms should be regulated. In this study, we employ social media signals to examine the…

Social and Information Networks · Computer Science 2022-05-03 Yelena Mejova , Jisun An , Gianmarco De Francisci Morales , Haewoon Kwak

Most existing personalization systems promote items that match a user's previous choices or those that are popular among similar users. This results in recommendations that are highly similar to the ones users are already exposed to,…

Social and Information Networks · Computer Science 2021-02-26 Bibek Paudel , Abraham Bernstein

Advice forums are a crowdsourced way to reinforce cultural norms and moral behavior. Sites like Reddit contain massive amounts of natural language human interaction, with rules and norms unique to each individual subreddit community. To…

Human-Computer Interaction · Computer Science 2021-09-21 Emily Cannon , Bianca Crouse , Souvick Ghosh , Nicholas Rihn , Kristen Chua

Developing machine learning models to characterize political polarization on online social media presents significant challenges. These challenges mainly stem from various factors such as the lack of annotated data, presence of noise in…

Social and Information Networks · Computer Science 2023-11-22 Sadia Kamal , Brenner Little , Jade Gullic , Trevor Harms , Kristin Olofsson , Arunkumar Bagavathi

The most of the people have their account on social networks (e.g. Facebook, Vkontakte) where they express their attitude to different situations and events. Facebook provides only the positive mark as a like button and share. However, it…

Social and Information Networks · Computer Science 2019-06-11 Hieu Tran , Maxim Shcherbakov
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