Exploring the Boundaries of Ambient Awareness in Twitter
arxiv(2024)
摘要
Ambient awareness refers to the ability of social media users to obtain
knowledge about who knows what (i.e., users' expertise) in their network, by
simply being exposed to other users' content (e.g, tweets on Twitter). Previous
work, based on user surveys, reveals that individuals self-report ambient
awareness only for parts of their networks. However, it is unclear whether it
is their limited cognitive capacity or the limited exposure to diagnostic
tweets (i.e., online content) that prevents people from developing ambient
awareness for their complete network. In this work, we focus on in-wall ambient
awareness (IWAA) in Twitter and conduct a two-step data-driven analysis, that
allows us to explore to which extent IWAA is likely, or even possible. First,
we rely on reactions (e.g., likes), as strong evidence of users being aware of
experts in Twitter. Unfortunately, such strong evidence can be only measured
for active users, which represent the minority in the network. Thus to study
the boundaries of IWAA to a larger extent, in the second part of our analysis,
we instead focus on the passive exposure to content generated by other users –
which we refer to as in-wall visibility. This analysis shows that (in line with
) only for a subset of users IWAA is plausible,
while for the majority it is unlikely, if even possible, to develop IWAA. We
hope that our methodology paves the way for the emergence of data-driven
approaches for the study of ambient awareness.
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