A5078651528- Opinion Dynamics and Social Influence
- Complex Network Analysis Techniques
- Social Media and Politics
- Mobile Crowdsensing and Crowdsourcing
- Evolutionary Game Theory and Cooperation
- Misinformation and Its Impacts
- Open Source Software Innovations
- Experimental Behavioral Economics Studies
- Media Influence and Politics
- Digital Marketing and Social Media
- Complex Systems and Decision Making
- Wikis in Education and Collaboration
- Auction Theory and Applications
- Hate Speech and Cyberbullying Detection
- Game Theory and Applications
- Natural Language Processing Techniques
- Social Capital and Networks
- Digital Games and Media
- Media Influence and Health
- Sentiment Analysis and Opinion Mining
- Semantic Web and Ontologies
- Topic Modeling
- Privacy, Security, and Data Protection
- Social and Intergroup Psychology
- Mental Health via Writing
Menlo School
2017-2024
Stevens Institute of Technology
2010-2021
Meta (United States)
2013-2017
Meta (Israel)
2010-2016
Yahoo (United Kingdom)
2008-2011
Yahoo (United States)
2009-2011
Research!America (United States)
2010-2011
Indiana University
2008
Indiana University Bloomington
2006-2007
In this paper we investigate the attributes and relative influence of 1.6M Twitter users by tracking 74 million diffusion events that took place on follower graph over a two month interval in 2009. Unsurprisingly, find largest cascades tend to be generated who have been influential past large number followers. We also URLs were rated more interesting and/or elicited positive feelings workers Mechanical Turk likely spread. spite these intuitive results, however, predictions which particular...
We study several longstanding questions in media communications research, the context of microblogging service Twitter, regarding production, flow, and consumption information. To do so, we exploit a recently introduced feature Twitter known as "lists" to distinguish between elite users - by which mean celebrities, bloggers, representatives outlets other formal organizations ordinary users. Based on this classification, find striking concentration attention that roughly 50% URLs consumed are...
The relationship between financial incentives and performance, long of interest to social scientists, has gained new relevance with the advent web-based "crowd-sourcing" models production. Here we investigate effect compensation on performance in context two experiments, conducted Amazon's Mechanical Turk (AMT). We find that increased increase quantity, but not quality, work performed by participants, where difference appears be due an "anchoring" effect: workers who were paid more also...
The relationship between financial incentives and performance, long of interest to social scientists, has gained new relevance with the advent web-based "crowd-sourcing" models production. Here we investigate effect compensation on performance in context two experiments, conducted Amazon's Mechanical Turk (AMT). We find that increased increase quantity, but not quality, work performed by participants, where difference appears be due an "anchoring" effect: workers who were paid more also...
Complex problems in science, business, and engineering typically require some tradeoff between exploitation of known solutions exploration for novel ones, where, many cases, information about can also disseminate among individual problem solvers through formal or informal networks. Prior research on complex solving by collectives has found the counterintuitive result that inefficient networks, meaning networks relatively slowly, perform better than efficient extended exploration. In this...
We investigated the effects of Facebook’s and Instagram’s feed algorithms during 2020 US election. assigned a sample consenting users to reverse-chronologically-ordered feeds instead default algorithms. Moving out algorithmic substantially decreased time they spent on platforms their activity. The chronological also affected exposure content: amount political untrustworthy content saw increased both platforms, classified as uncivil or containing slur words Facebook, from moderate friends...
Does Facebook enable ideological segregation in political news consumption? We analyzed exposure to during the US 2020 election using aggregated data for 208 million users. compared inventory of all that users could have seen their feeds with information they saw (after algorithmic curation) and which engaged. show (i) is high increases as we shift from potential actual engagement; (ii) there an asymmetry between conservative liberal audiences, a substantial corner ecosystem consumed...
Abstract Many critics raise concerns about the prevalence of ‘echo chambers’ on social media and their potential role in increasing political polarization. However, lack available data challenges conducting large-scale field experiments have made it difficult to assess scope problem 1,2 . Here we present from 2020 for entire population active adult Facebook users USA showing that content ‘like-minded’ sources constitutes majority what people see platform, although information news represent...
We studied the effects of exposure to reshared content on Facebook during 2020 US election by assigning a random set consenting, US-based users feeds that did not contain any reshares over 3-month period. find removing substantially decreases amount political news, including from untrustworthy sources, which are exposed; overall clicks and reactions; reduces partisan news clicks. Further, we observe produces clear in knowledge within sample, although there is some uncertainty about how this...
It is often asserted that friends and acquaintances have more similar beliefs attitudes than do strangers; yet empirical studies disagree over exactly how much diversity of opinion exists within local social networks and, relatedly, awareness individuals their neighbors' views. This article reports results from a network survey, conducted on the Facebook networking platform, in which participants were asked about own political attitudes, as well friends' attitudes. Although considerable...
Researchers increasingly use electronic communication data to construct and study large social networks, effectively inferring unobserved ties (e.g. i is connected j) from observed events emails j). Often overlooked, however, the impact of tie definition on corresponding network, in turn relevance inferred network research question interest. Here we problem inference for two email sets different size origin. In each case, generate a family networks parameterized by threshold condition...
A novel paradigm was developed to study the behavior of groups networked people searching a problem space. The authors examined how different network structures affect propagation information in laboratory-created groups. Participants made numerical guesses and received scores that were also available their neighbors network. networks compared on speed discovery convergence optimal solution. One experiment showed individuals within group tend converge similar solutions even when there is an...
The relationship between team size and productivity is a question of broad relevance across economics, psychology, management science. For complex tasks, however, where both the potential benefits costs coordinated work increase with number workers, neither theoretical arguments nor empirical evidence consistently favor larger vs. smaller teams. Experimental findings, meanwhile, have relied on small groups highly stylized hence are hard to generalize realistic settings. Here we narrow gap...
The way in which social conventions emerge communities has been of interest to scientists for decades. Here we report on the emergence a particular convention Twitter—the indicate tweet is being reposted and attribute content its source. Initially, different variations were invented spread through Twitter network. inventors early adopters well-connected, active, core members community. diffusion networks these dense highly clustered, so no single user was critical adoption conventions....
We study the effect of Facebook and Instagram access on political beliefs, attitudes, behavior by randomizing a subset 19,857 users 15,585 to deactivate their accounts for 6 wk before 2020 U.S. election. report four key findings. First, both deactivation reduced an index participation (driven mainly online). Second, had no significant knowledge, but secondary analyses suggest that it knowledge general news while possibly also decreasing belief in misinformation circulating online. Third, may...
On-demand mobile workforce applications match physical world tasks and willing workers. These systems offer to help conserve resources, streamline courses of action, increase market efficiency for micro- mid-level tasks, from verifying the existence a pothole walking neighbor's dog. This study reports on motivations experiences individuals who regularly complete posted in on-demand marketplaces. Data collection included semi-structured interviews with members (workers) two different...
The way in which social conventions emerge communities has been of interest to scientists for decades. Here we report on the emergence a particular convention Twitter---the indicate tweet is being reposted and attributing content its source. Despite invented at different times having adoption rates, only two variations became widely adopted. In this paper describe process detail, highlighting factors that come into play deciding variation individuals will adopt. Our classification analysis...
How important are friendships in determining success by individuals and teams complex collaborative environments? By combining a novel data set containing the dynamics of millions ad hoc from popular multiplayer online first person shooter Halo: Reach with survey on player demographics, play style, psychometrics derived an anonymous survey, we investigate impact friendship competitive performance. In addition to finding significant differences behavior across these variables, find that exert...
Moving to a new country can be difficult, but relationships made there ease the integration into environment. The social ties formed with different groups: compatriots from their home country, people originally (locals), and also immigrants other countries. Yet very little research on immigration has addressed this important aspect, primarily because large-scale studies of networks are impractical using traditional methods such as surveys. In study we provide first comprehensive view...