Volunteer moderators actively engage in online content management, such as removing toxic content and sanctioning anti-normative behaviors in user-governed communities. The synchronicity and ephemerality of live-streaming communities pose unique moderation challenges. Based on interviews with 21 volunteer moderators on Twitch, we mapped out 13 moderation strategies and presented them in relation to the bad act, enabling us to categorize from proactive and reactive perspectives and identify communicative and technical interventions. We found that the act of moderation involves highly visible and performative activities in the chat and invisible activities involving coordination and sanction. The juxtaposition of real-time individual decision-making with collaborative discussions and the dual nature of visible and invisible activities of moderators provide a unique lens into a role that relies heavily on both the social and technical. We also discuss how the afordances of live-streaming contribute to these unique activities. CCS CONCEPTS• Human-centered computing → Empirical studies in collaborative and social computing; Empirical studies in HCI .

In the ever-connected social networking era, terrorists exploit social media platforms via sophisticated approaches. To curb these activities, a rich collection of computational methods was developed. This article surveys the use of social media by terrorists, followed by a temporal classification framework that overviews computational countermeasures at four major stages, including inception of an attack, immediately before an attack, onset of an attack, and after an attack. The literature surveyed was organized around the four temporal stages. The resulting survey is summarized in a table with the main technology used in each stage based on the time of the attack.

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The safety of passengers of rideshare apps has received attention from researchers, yet there is a lack of research on safety of rideshare drivers in the context of CSCW and HCI. As drivers are also an important user in the ecosystem of the ridesharing systems, we conducted interviews with drivers in the U.S. to understand how they, individually and collaboratively, address safety related issues they face conducting their job. We identified the factors that contributed to drivers' feelings of safety and the strategies they engaged in to protect themselves. We found that drivers relied on methods that were technical, social, and physical, to ensure their safety and engaged in informal collaborative and communicative activities with other drivers inside and outside of the ridesharing system. We discuss implications for future design for ridesharing apps and other location-based computer-supported collaborative systems that have potential safety hazards.

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