29 citations · 131 across the 34 of their papers we have counts for
5 papers · 1 filter
Analysis of Leading Communities Contributing to arXiv Information Distribution on Twitter
Kyosuke Shimada, Kazuhiro Kazama, Mitsuo Yoshida +2
To analyze the impact that arXiv is having on the world, in this paper we propose an arXiv information distribution model on Twitter, which has a three-layer structure: arXiv paper…
Do you trust experts on Twitter?: Successful correction of COVID-19-related misinformation
Dongwoo Lim, Fujio Toriumi, Mitsuo Yoshida
This study focuses on how scientifically-correct information is disseminated through social media, and how misinformation can be corrected. We have identified examples on Twitter w…
Feature Selective Likelihood Ratio Estimator for Low- and Zero-frequency N-grams
Masato Kikuchi, Mitsuo Yoshida, Kyoji Umemura +1
In natural language processing (NLP), the likelihood ratios (LRs) of N-grams are often estimated from the frequency information. However, a corpus contains only a fraction of the p…
Comparison of Indicators of Location Homophily Using Twitter Follow Graph
Shiori Hironaka, Mitsuo Yoshida, Kyoji Umemura
Location homophily is a tendency of Twitter users whose followers tend to be in the same or nearby areas. Intuitively, although users with a higher number of follower relationships…
Unified Likelihood Ratio Estimation for High- to Zero-frequency N-grams
Masato Kikuchi, Kento Kawakami, Kazuho Watanabe +2
Likelihood ratios (LRs), which are commonly used for probabilistic data processing, are often estimated based on the frequency counts of individual elements obtained from samples.…