288 citations · 2.3k across the 73 of their papers we have counts for
19 papers · 1 filter
A field experiment of social influence and behavioral contagion with bots on Reddit
Hiroki Oda, Kinga Makovi, Taha Yasseri +1
Recent advances in AI have heightened scholars' and policy makers' concern with social influence and behavioral contagion in online communities. We conduct a field experiment on Re…
Gender Dynamics and Homophily in a Social Network of LLM Agents
Faezeh Fadaei, Jenny Carla Moran, Taha Yasseri
Generative artificial intelligence and large language models (LLMs) are increasingly deployed in interactive settings, yet we know little about how their identity performance devel…
The Benefit of Collective Intelligence in Community-Based Content Moderation is Limited by Overt Political Signalling
Gabriela Juncosa, Saeedeh Mohammadi, Margaret Samahita +1
Social media platforms face increasing scrutiny over the rapid spread of misinformation. In response, many have adopted community-based content moderation systems, including Commun…
Beyond Demographics: Behavioural Segmentation and Spatial Analytics to Enhance Visitor Experience at The British Museum
Naomi Muggleton, Timothy Monteath, Taha Yasseri
This study explores visitor behaviour at The British Museum using data science methods applied to novel sources, including audio guide usage logs and TripAdvisor reviews. Analysing…
From Birdwatch to Community Notes, from Twitter to X: four years of community-based content moderation
Saeedeh Mohammadi, Narges Chinichian, Hannah Doyal +6
Community Notes (formerly known as Birdwatch) is the first large-scale crowdsourced content moderation initiative launched by X (formerly Twitter) in January 2021. As the Community…
Toxic behavior silences online political conversations
Gabriela Juncosa, Taha Yasseri, Julia Koltai +1
Quantifying how individuals react to social influence is crucial for tackling collective political behavior online. While many studies of opinion in public forums focus on social f…
A new sociology of humans and machines
Milena Tsvetkova, Taha Yasseri, Niccolo Pescetelli +1
From fake social media accounts and generative artificial intelligence chatbots to trading algorithms and self-driving vehicles, robots, bots and algorithms are proliferating and p…
Using word embeddings to analyse audience effects and individual differences in parenting Subreddits
Melody Sepahpour-Fard, Michael Quayle, Maria Schuld +1
Human beings adapt their language to the audience they interact with. To study the impact of audience and gender in a natural setting, we choose a domain where gender plays a parti…
Can crowdsourcing rescue the social marketplace of ideas?
Taha Yasseri, Filippo Menczer
Facebook and Twitter recently announced community-based review platforms to address misinformation. We provide an overview of the potential affordances of such community-based appr…
What drives passion? An empirical examination on the impact of personality trait interactions and job environments on work passion
Annika Breu, Taha Yasseri
Passionate employees are essential for organisational success as they foster higher performance and exhibit lower turnover or absenteeism. While a large body of research has invest…
Tweeting for the Cause: Network analysis of UK petition sharing
Peter Cihon, Taha Yasseri, Scott Hale +1
Online government petitions represent a new data-rich mode of political participation. This work examines the thus far understudied dynamics of sharing petitions on social media in…
The cost of coordination can exceed the benefit of collaboration in performing complex tasks
Vince J. Straub, Milena Tsvetkova, Taha Yasseri
Humans and other intelligent agents often rely on collective decision making based on an intuition that groups outperform individuals. However, at present, we lack a complete theor…
Positive algorithmic bias cannot stop fragmentation in homophilic networks
Chris Blex, Taha Yasseri
Fragmentation, echo chambers, and their amelioration in social networks have been a growing concern in the academic and non-academic world. This paper shows how, under the assumpti…
Islamophobes are not all the same! A study of far right actors on Twitter
Bertie Vidgen, Taha Yasseri, Helen Margetts
Far-right actors are often purveyors of Islamophobic hate speech online, using social media to spread divisive and prejudiced messages which can stir up intergroup tensions and con…
Social capital predicts corruption risk in towns
Johannes Wachs, Taha Yasseri, Balázs Lengyel +1
Corruption is a social plague: gains accrue to small groups, while its costs are borne by everyone. Significant variation in its level between and within countries suggests a relat…
Even Good Bots Fight: The Case of Wikipedia
Milena Tsvetkova, Ruth García-Gavilanes, Luciano Floridi +1
In recent years, there has been a huge increase in the number of bots online, varying from Web crawlers for search engines, to chatbots for online customer service, spambots on soc…
What Happens After You Both Swipe Right: A Statistical Description of Mobile Dating Communications
Jennie Zhang, Taha Yasseri
Mobile dating applications (MDAs) have skyrocketed in popularity in the last few years, with popular MDA Tinder alone matching 26 million pairs of users per day. In addition to bec…
Dynamics of Disagreement: Large-Scale Temporal Network Analysis Reveals Negative Interactions in Online Collaboration
Milena Tsvetkova, Ruth García-Gavilanes, Taha Yasseri
Disagreement and conflict are a fact of social life and considerably affect our well-being and productivity. Such negative interactions are rarely explicitly declared and recorded…
Wikipedia traffic data and electoral prediction: towards theoretically informed models
Taha Yasseri, Jonathan Bright
This aim of this article is to explore the potential use of Wikipedia page view data for predicting electoral results. Responding to previous critiques of work using socially gener…