activity
20242026
most citedFaces Speak Louder Than Words: Emotions Versus Textual Sentiment in the 2024 USA Presidential Election

4 citations · 8 across the 10 of their papers we have counts for

collaborators

12 papers

cs.SI2026

The 2026 World Cup, Anime Edition: Production, Engagement, and Circulation of Generative Memetic Sports Content

Azneef Chowdhury, Ho-Chun Herbert Chang

Generative AI gives audiences new ways to portray real sporting figures through familiar fictional worlds. Expanded opportunities to create, however, need not broaden cultural repr…

cs.IR2026

Who Anchors AI Overviews in Health? Baidu, Google, and the Geography of Authority

Mingyue Zha, Ho-Chun Herbert Chang

Artificial intelligence is being rapidly incorporated into traditional search systems, yet scant work audits the information disparities across platforms, geography, and languages.…

cs.CY2026

The First Mass Protest on Threads: Multimodal Mobilization and AI-Generated Visuals in Taiwan's Bluebird Movement

Tracy Weener, Ho-Chun Herbert Chang

The 2024 Bluebird Movement in Taiwan marked one of the largest youth-led protests in the country's democratic history, mobilizing over 100,000 demonstrators in response to parliame…

cs.CY2026

Motivation, Attention, and Visual Platform Design: How Moral Contagions Spread on TikTok and Instagram in the 2024 United States Presidential Election

Ni Annie Yuan, Ho-chun Herbert Chang

Visual social media platforms have become primary venues for political discourse, yet we know little about how moralization operates differently across platforms and topics. Analyz…

cs.MM2026

Interpreting Multimodal Communication at Scale in Short-Form Video: Visual, Audio, and Textual Mental Health Discourse on TikTok

Mingyue Zha, Ho-Chun Herbert Chang

Short-form video platforms integrate text, visuals, and audio into complex communicative acts, yet existing research analyzes these modalities in isolation, lacking scalable framew…

cs.SI2025

Food as Soft Power: Taiwanese Gastrodiplomacy on Social Media and Algorithmic Suppression

Andrew Yen Chang, Ho-Chun Herbert Chang

Social media platforms have become pivotal for projecting national identity and soft power in an increasingly digital world. This study examines the digital manifestation of Taiwan…

cs.SI2025

Measuring Social Influence with Networked Synthetic Control

Ho-Chun Herbert Chang

Measuring social influence is difficult due to the lack of counter-factuals and comparisons. By combining machine learning-based modeling and network science, we present general pr…

cs.SI2025★ 1 cited

The Niche Connectivity Paradox: Multichrome Contagions Overcome Vaccine Hesitancy more effectively than Monochromacy

Ho-Chun Herbert Chang, Feng Fu

The rise of vaccine hesitancy has caused a resurgence of vaccine-preventable diseases such as measles and pertussis, alongside widespread skepticism and refusals of COVID-19 vaccin…

cs.SI2024★ 4 cited

Faces Speak Louder Than Words: Emotions Versus Textual Sentiment in the 2024 USA Presidential Election

Chiyu Wei, Sean Noh, Ho-Chun Herbert Chang

Sentiment analysis of textual content has become a well-established solution for analyzing social media data. However, with the rise of images and videos as primary modes of expres…

cs.CY2024★ 1 cited

Gender Inequalities in Content Collaborations: Asymmetric Creator Synergy and Symmetric Audience Biases

Mingyue Zha, Ho-Chun Herbert Chang

Content-creator collaborations are a widespread strategy for enhancing digital viewership and revenue. While existing research has explored the efficacy of collaborations, few have…

cs.CY2024★ 2 cited

The Meme Is the Message: Generative Memesis and AI Visuals in the 2024 USA Presidential Elections

Ho-Chun Herbert Chang, Benjamin Shaman, Yung-chun Chen +5

Visual content on social media has become increasingly influential in shaping political discourse and civic engagement, but it also limits participation due to the increased cost o…

cs.CL2024

LLMs with Personalities in Multi-issue Negotiation Games

Sean Noh, Ho-Chun Herbert Chang

Powered by large language models (LLMs), AI agents have become capable of many human tasks. Using the most canonical definitions of the Big Five personality, we measure the ability…