Sentiment Analysis of Facebook Users Reacting to Political Campaign Posts

被引:19
|
作者
Sandoval-Almazan R. [1 ]
Valle-Cruz D. [1 ]
机构
[1] Facultad de Ciencias Políticas y Sociales, Universidad Autonoma Del Estado de Mexico, Toluca, Estado de México
来源
Digital Government: Research and Practice | 2020年 / 1卷 / 02期
关键词
Facebook; reactions; sentiment analysis; Social media;
D O I
10.1145/3382735
中图分类号
学科分类号
摘要
A recent trend in political campaign studies is the use of sentiment analysis to understand users' decisions. The scandal of Facebook and Cambridge Analytics is an example of efforts to use social media platforms to impact citizens' will. This research aims to answer the question: Did the Facebook reactions of users in Mexico reflect the outcomes of the elections and possibly also the users' emotions toward the political candidates of the State of Mexico in 2017? To answer the research question, we analyzed data collected from 4,128 Facebook posts and their reactions. The available reactions for Facebook users are: like, love, haha, wow, sad, and angry. Doing so revealed some kind of mood from the users in the Facebook comments section and opinions of the local government campaign in the central State of Mexico. The elections studied took place in June 2017. Our findings show that the winning political party had more negative sentiment and fewer posts and users' discussions of the candidates in Facebook comments sections than the political party with the largest positive sentiment. This party was unsuccessful in winning the elections. © 2020 Owner/Author.
引用
收藏
相关论文
共 50 条
  • [1] SENTIMENT ANALYSIS OF SLOVAKIAN CHAIN STORES FACEBOOK POSTS
    Kacaniova, Magdalena
    Bacikova, Zuzana
    MARKETING IDENTITY: DIGITAL LIFE, PT I, 2015, : 91 - 107
  • [2] Sentiment Analysis of Student's Facebook Posts
    Iram, Ateya
    INTELLIGENT TECHNOLOGIES AND APPLICATIONS, INTAP 2018, 2019, 932 : 86 - 97
  • [3] The added value of auxiliary data in sentiment analysis of Facebook posts
    Meire, Matthijs
    Ballings, Michel
    Van den Poel, Dirk
    DECISION SUPPORT SYSTEMS, 2016, 89 : 98 - 112
  • [4] Facebook Impact and Sentiment Analysis on Political Campaigns
    Sandoval-Almazan, Rodrigo
    Valle-Cruz, David
    PROCEEDINGS OF THE 19TH ANNUAL INTERNATIONAL CONFERENCE ON DIGITAL GOVERNMENT RESEARCH (DGO 2018): GOVERNANCE IN THE DATA AGE, 2018, : 478 - 484
  • [5] Facebook Users Relationships Analysis based on Sentiment Classification
    Terrana, Diego
    Augello, Agnese
    Pilato, Giovanni
    2014 IEEE INTERNATIONAL CONFERENCE ON SEMANTIC COMPUTING (ICSC), 2014, : 290 - 296
  • [6] Predicting mobile application breakout using sentiment analysis of Facebook posts
    Ben Hajhmida, Moez
    Oueslati, Oumayma
    JOURNAL OF INFORMATION SCIENCE, 2021, 47 (04) : 502 - 516
  • [7] Talking It Personally: Features of Successful Political Posts on Facebook
    Nave, Nir Noon
    Shifman, Limor
    Tenenboim-Weinblatt, Keren
    SOCIAL MEDIA + SOCIETY, 2018, 4 (03):
  • [8] Predicting Political Tendency of Posts on Facebook
    Chiu, Shu-, I
    Hsu, Kuo-Wei
    PROCEEDINGS OF 2018 7TH INTERNATIONAL CONFERENCE ON SOFTWARE AND COMPUTER APPLICATIONS (ICSCA 2018), 2018, : 110 - 114
  • [9] An Experiment of Influences of Facebook Posts in Other Users
    Jerez Villota, Eleana
    Guun Yoo, Sang
    2018 FIFTH INTERNATIONAL CONFERENCE ON EDEMOCRACY & EGOVERNMENT (ICEDEG), 2018, : 83 - 88
  • [10] Social Media Data Mining of Antitobacco Campaign Messages: Machine Learning Analysis of Facebook Posts
    Lin, Shuo-Yu
    Cheng, Xiaolu
    Zhang, Jun
    Yannam, Jaya Sindhu
    Barnes, Andrew J.
    Koch, J. Randy
    Hayes, Rashelle
    Gimm, Gilbert
    Zhao, Xiaoquan
    Purohit, Hemant
    Xue, Hong
    JOURNAL OF MEDICAL INTERNET RESEARCH, 2023, 25