7 citations · 7 across the 2 of their papers we have counts for
7 papers
Learning Inflation Narratives from Reddit: How Lightweight LLMs Reveal Forward-Looking Economic Signals
Ryuichi Saito, Sho Tsugawa
Public perceptions and expectations of inflation shape household spending, wage bargaining, and policy support, making them key determinants of macroeconomic outcomes. However, cur…
Empirical Evaluation of Link Deletion Methods for Limiting Information Diffusion on Social Media
Shiori Furukawa, Sho Tsugawa
Although beneficial information abounds on social media, the dissemination of harmful information such as so-called ``fake news'' has become a serious issue. Therefore, many resear…
Revisiting Information Diffusion Beyond Explicit Social Ties: A Study of Implicit-Link Diffusion on Twitter
Yuto Tamura, Sho Tsugawa, Kohei Watabe
Information diffusion on social media platforms is often assumed to occur primarily through explicit social connections, such as follower or friend ties. However, information frequ…
Identifying Stable Influencers: Distinguishing Stable and Temporal Influencers Using Long-Term Twitter Data
Harutaka Yamada, Sho Tsugawa, Mitsuo Yoshida
For effective social media marketing, identifying stable influencers-those who sustain their influence over an extended period-is more valuable than focusing on users who are influ…
Contrastive Cascade Graph Learning for Classifying Real and Synthetic Information Diffusion Patterns
Naoki Shibao, Sho Tsugawa
A wide variety of information is disseminated through social media, and content that spreads at scale can have tangible effects on the real world. To curb the spread of harmful con…
Do Large Language Models Advocate for Inferentialism?
Yuzuki Arai, Sho Tsugawa
The emergence of large language models (LLMs) such as ChatGPT and Claude presents new challenges for philosophy of language, particularly regarding the nature of linguistic meaning…