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ACM Transactions on

Social Computing (TSC)

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A Participation Architecture to Support User Peripheral Participation in a Hybrid FOSS Community

Participation by product users is critical to success in free, open-source software (FOSS) software... (more)

A Socio-Contextual Approach in Automated Detection of Public Cyberbullying on Twitter

Cyberbullying is a major cyber issue that is common among adolescents. Recent reports show that more than one out of five students in the United... (more)

Social Media Ethics: A Rawlsian Approach to Hypertargeting and Psychometrics in Political and Commercial Campaigns

Targeted social media advertising based on psychometric user profiling has emerged as an effective way of reaching individuals who are predisposed to accept and be persuaded by the advertising message. This article argues that in the case of political advertising, this may present a democratic and ethical challenge. Hypertargeting methods such as... (more)

Understanding Social Roles in an Online Community of Volatile Practice: A Study of User Experience Practitioners on Reddit

Community of practice (CoP) is a primary framework in social computing research that addresses learning and organizing specific practices in online... (more)

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About TSC

ACM Transactions on Social Computing (TSC) seeks to publish work that covers the full spectrum of social computing including theoretical, empirical, systems, and design research contributions. READ MORE

Special Issue on Negotiating Truth and Trust in Socio-Technical Systems

This special issue will explore interdisciplinary perspectives on negotiating truth and trust in socio-technical systems. Rather than seeking to define or promote one "truth," this issue focuses on how users identify and wrestle with competing notions of truth and trust in highly contested online information environments, full of risk and reward, and how designs of infrastructure and policy help or hinder these interactions.  
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Special Issue on Emoji Understanding and Applications in Social Media

This special issue seeks original research manuscripts dealing with computer and social science research efforts on understanding social, cultural, communicative, and linguistic roles of emoji and on building novel computational methods to understand, interpret, and exploit them. READ MORE

Forthcoming Articles

Mi Casa es su Casa? Examining Airbnb Hospitality Exchange Practices in a Developing Economy

Activity Archetypes in Question-and-Answer (Q&A) Websites - A Study of 50 Stack Exchange Instances

Millions of users on the Internet discuss a variety of topics on Question-and-Answer (Q&A) instances. However, not all instances and topics receive the same amount of attention, as some thrive and achieve self-sustaining levels of activity while others fail to attract users and either never grow beyond being a small niche community or become inactive. Hence, it is imperative to not only better understand but also to distill deciding factors and rules that define and govern sustainable Q&A instances. We aim to empower community managers with quantitative methods for them to better understand, control and foster their communities, and thus contribute to making the Web a more efficient place to exchange information. To that end, we extract, model and cluster user activity-based time series from 50 randomly selected Q&A instances from the Stack Exchange network to characterize user behavior. We find four distinct types of user activity temporal patterns, which vary primarily according to the users' activity frequency. Finally, by breaking down total activity in our 50 Q&A instances by the previously identified user activity profiles, we classify those 50 Q&A instances into three different activity profiles. Our categorization of Q&A instances aligns with the stage of development and maturity of the underlying communities, and can potentially help operators of such instances not only to quantitatively assess status and progress, but also allow them to optimize community building efforts.

Online Idea Management for Civic Engagement: A Study on the Benefits of Integration with Social Networking

Deadline-Aware Fair Scheduling for Multi-Tenant Crowd-Powered Systems

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