デジタル説得:オンラインインフルエンサーが世論に与える影響の理解
Digital Persuasion: Understanding the Impact of Online Influencers on Public Opinion
ソーシャルネットワーク上の意見力学をFriedkin-Johnsenモデルで分析し、影響力のあるユーザーがコミュニティ全体の意見を大きく変え、その影響が間接的なつながりにも及ぶことを米大統領選のツイートデータで示した。
詳しい要約
1. どんなもの?
2. 先行研究と比べてどこがすごい?
3. 技術・手法の肝は?
4. どうやって有効だと検証した?
5. 議論はある?
6. 次に読むべき論文は?
※ AIが要旨から生成した要約です。正確性は原文をご確認ください。
著者: Omran Berjawi, Rida Khatoun, Giuseppe Fenza
分類: cs.SI, cs.LG
原文アブストラクト
The studying of opinion dynamics and its propagation within social networks is crucial for addressing a wide range of challenges, including political polarization, public health, and marketing strategies. In this work, we study the problem of opinion dynamics by proposing a framework based on Friedkin-Johnsen (FJ) to identifies influential users and study their impact on dynamics opinions of community. The FJ model assume each individual have two opinions: initial and expressed. Through a series of initial opinion manipulation experiments, the proposed framework assesses the impact of influential versus random users on the overall community opinion. The proposed framework is validated using a tweet dataset representing the U.S. presidential election. The results shows that influencers with highest influencing score, significantly shift the overall community opinion. Moreover, the results shows that the impact of influencers not limited to direct neighbors , but beyond it, to their neighbors of neighbors . This study demonstrates how digital influencers on social media can shape public opinion regarding a subject or cause.