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Making Sense of Videos on Social Media: A Cross- platform Analysis

Zixin Shen & Songxin Tan

AIS Transactions on Human-Computer Interaction2026https://doi.org/10.17705/1thci.00239article
AJG 2ABDC A
Weight
0.50

Abstract

Sensemaking plays a critical role in social media, which features ambiguous, equivocal, and dynamic information, views, and opinions. While existing research has focused on sensemaking with respect to text entries related to extreme events, we examine sensemaking with respect to video content on social media. Drawing on sensemaking theories, we investigate the relationships between video features and sensemaking activities. Specifically, we analyze how information control, cue, and noise in YouTube videos affect sensemaking activities on YouTube and Reddit. Our findings reveal both similarities and differences in how these factors relate to sensemaking activities across the two platforms. This research enriches the current literature on social media sensemaking and provides insights for designing videos that better facilitate sensemaking activities and enhance user experiences.

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https://doi.org/https://doi.org/10.17705/1thci.00239

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@article{zixin2026,
  title        = {{Making Sense of Videos on Social Media: A Cross- platform Analysis}},
  author       = {Zixin Shen & Songxin Tan},
  journal      = {AIS Transactions on Human-Computer Interaction},
  year         = {2026},
  doi          = {https://doi.org/https://doi.org/10.17705/1thci.00239},
}

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Evidence weight

0.50

Balanced mode · F 0.40 / M 0.15 / V 0.05 / R 0.40

F · citation impact0.50 × 0.4 = 0.20
M · momentum0.50 × 0.15 = 0.07
V · venue signal0.50 × 0.05 = 0.03
R · text relevance †0.50 × 0.4 = 0.20

† Text relevance is estimated at 0.50 on the detail page — for your query’s actual relevance score, open this paper from a search result.