Marlon Twyman

TL;DR: In this paper, the authors analyzed participation and attention to topics connected with the Black Lives Matter movement in the English language version of Wikipedia between 2014 and 2016, revealing patterns of behavior that complement theories of collective memory and collective action and help explain how social computing systems can encode and retrieve knowledge about social movements as they unfold.

TL;DR: In this paper, the authors analyzed participation and attention to topics connected with the Black Lives Matter movement in the English language version of Wikipedia between 2014 and 2016, revealing patterns of behavior that complement theories of collective memory and collective action and help explain how social computing systems can encode and retrieve knowledge about social movements as they unfold.

TL;DR: This work describes how users' traits and social networks influence their teammate searches, teammate choices, and team composition on online platforms, and shows that what users initially search for differs from what they finally choose.

TL;DR: The authors proposed five classes of social network intervention to provide a roadmap of opportunities for disrupting misinformation dynamics during a global health crisis, identifying five distinct yet interdependent features of information environments that present viable opportunities for interventions.

TL;DR: A smartwatch prototype that uses variable friction surface haptics to test initial design concepts for a haptic smartwatch as well as embodied conceptual models for presenting haptic information build on existing tactile and spatial understandings of the target user group.