Milad Mirbabaie

TL;DR: An extended and structured literature analysis is conducted through which the most important challenges for researchers are discussed and potential solutions proposed and used to extend an existing framework on social media analytics.

TL;DR: In this article, the authors focus on commentary-based social media communication practices of Twitter users to understand the processes and patterns of inter-subjective sense-making during an extreme event.

TL;DR: In this article, the authors studied the potential impact of sense-giving from Twitter crisis communication generated during the Hurricane Harvey disaster event. And they found that the importance of information-rich actors in communication networks and the leverage of their influence in crises such as coronavirus disease 2019 to reduce social media distrust and facilitate sense-making.

TL;DR: The results indicate that frequently retweeted users as well as those with the most followers guide the gap bridging through tweeting and retweeting new information, leading to sensemaking differently.

TL;DR: A critical review of fields in which AI has been applied, including their performance aiming to identify emergent digitalized healthcare services, is conducted to portray the AI landscape in diagnostics and provide a snapshot to guide future research.