Filter by author: Noriko Hara

Generative Artificial Intelligence (GenAI) greatly attracts the public's interest; thus, this research investigates discussions between experts and members of the public about this new technology on social media. Using computational and manual analysis of X (formerly Twitter) data, we investigated discussion topics, the roles discussants — including both experts and public — play, and the differences between experts' posts and the public's replies. Moreover, we examined the dynamics between the discussants' roles and social media engagement measures. We found that the public is not only actively contributing to the discussion of GenAI on X, but also becoming knowledge co-producers alongside experts in the sphere.

Social cues are used to facilitate online science communication, yet little is known about how they may play a role in online public engagement with science sites. This mixed-method study investigates r/science Ask Me Anything (AMA) sessions on Reddit through content analysis and an online survey to identify the types and variations of social cues manifested in six r/science AMAs across varying disciplines. The study's contributions are twofold. One is to investigate social cue uses in online science communication; the other is to develop a coding scheme for social cues that incorporates both positive and negative social cues in the analysis.