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    題名: 降低多人遊戲中惡毒言論行為之探討與設計： 運用貼圖機制緩解惡毒言論攻擊
    Discussion and Design to Reduce Toxic Language Behavior in Multiplayer Games: Use the Emoji Mechanism to Ease Toxic Language Attacks.
    作者: 陳彥廷
    Chen, Yian-Ting
    貢獻者: 劉昭麟
    許志堅
    Liu, Chao-Lin
    Sheu, Jyh-Jian
    陳彥廷
    Chen, Yian-Ting
    關鍵詞: 惡毒行為
    表情貼圖
    遊戲
    Toxic behavior
    Emojis
    Game
    日期: 2022
    上傳時間: 2022-12-02 15:20:06 (UTC+8)
    摘要: 隨著網際網路及各種科技的進步，線上遊戲已成為現今大多數人休閒活動的主要選擇之一。然而線上遊戲的通訊功能因為不受距離限制和匿名的方式衍伸出一個問題「惡毒言論」，這種負面行為除了影響人們對於網路的使用，更可能在現實生活中造成受害者的負面情緒。目前業界雖然已提出幾種解決方案，但都未有明確的研究表明其成效。

    本研究提供一種緩和惡毒言論攻擊的方式，利用表情貼圖結合文字探勘嘗試降低使用者遭受惡毒言論攻擊時的負面影響，並實作一款模擬多人遊戲檢測實驗效果。實驗過程中包括三個部分，分別為純文字惡毒言論、表情貼圖輔助緩解惡毒語句模組以及表情貼圖取代惡毒關鍵字模組，根據不同表情貼圖的使用方式和原始的惡毒言論攻擊作對比，最後利用問卷及遊戲內的數據分析表情貼圖系統是否達到研究預期的效果。

    實驗結果顯示，表情貼圖確實能夠降低惡毒言論攻擊帶來的負面影響，並且表情貼圖取代惡毒關鍵字模組的緩和效果最為顯著。除了表情貼圖的活潑與正向性降低惡毒言論的負面情緒外，將惡毒關鍵字轉換為表情貼圖，避免使用者直接看到惡毒文字也是降低其負面情緒的主要原因之一。此外，實驗結果也發現使用者的貼圖使用經驗及表情貼圖的好感度對於是否能夠緩解惡毒言論攻擊具有一定程度的影響。
    With the advancement of the Internet and various technologies, online games has become one of the main choices for most people`s leisure activities today. However, the communication function of online games has created a problem "toxic language" because of its unrestricted and anonymity. In addition to affecting people’s use of the network, this negative online influence is more likely to cause them negative emotions in real life. At present, although several solutions have been proposed in the industry, there is no clear research to show their effectiveness.

    The purpose of this research is to provide a way of mitigating toxic language attacks, using emojis system combined with text mining to try to reduce the negative impact of the abused. And a simulated multiplayer game was implemented to detect the effect of the experiment. The experiment includes three parts, namely, the text of sheer malicious speech, the sentence module with emojis to help alleviate toxic speech, and the module using emojis to replace toxic word. A comparison was made between different ways of using emojis with the original text of toxic speech. In the end, the questionnaire and game data were analyzed to show whether the emojis system had the expected effect of the research.

    The result of the experiment has shown that emojis can indeed reduce the negative impact of toxic speech, and the module replacing toxic word with emojis has the most significant mitigating effect. For one thing, the liveliness and positiveness of emojis reduce the negative emotions of malicious speeches. For another, converting toxic word into emojis prevents the abused from reading the malicious text and thus reduces the negative emotions. Furthermore, the result of the experiment also indicated that the user`s experience in using emojis and his favorability of emojis have a certain degree of influence on the alleviating effect.
    參考文獻: 陳祈年(2005)。動機、可玩性與社交性對於多人線上角色扮演遊戲玩家沉浸經驗之影響。國立交通大學傳播研究所碩士論文。

    陳智先(2008)。線上遊戲社交性研究：玩家社交活動與第三場域的觀點。國立交通大學傳播研究所碩士論文。

    潘育絜(2007)。遊戲社群網路之社交性設計準則研究：角色扮演與互惠觀點。國立交通大學傳播研究所碩士論文。

    張瓊怡(2014)。即時通訊APP貼圖訊息之持續使用意圖。國立中央大學資訊管理所碩士論文。

    Adinolf, S., & Turkay, S. (2018, October). Toxic behaviors in Esports games: player perceptions and coping strategies. In Proceedings of the 2018 Annual Symposium on Computer-Human Interaction in Play Companion Extended Abstracts (pp. 365-372).

    Brown, B., & Bell, M. 2004. CSCW at play: ‘there’ as a collaborative virtual environment. In Proceedings of the 2004 ACM conference on Computer supported cooperative work (pp. 350-359).

    Blackburn, J., & Kwak, H. (2014, April). STFU NOOB! predicting crowdsourced decisions on toxic behavior in online games. In Proceedings of the 23rd International Conference on World Wide Web (pp. 877-888).

    Bai, Q., Dan, Q., Mu, Z., & Yang, M. (2019). A systematic review of emoji: Current research and future perspectives. Frontiers in Psychology, 10, 2221.

    Buckels, E. E., Trapnell, P. D., & Paulhus, D. L. (2014). Trolls just want to have fun. Personality and Individual Differences, 67, 97-102.

    Barlett, C., Chamberlin, K., & Witkower, Z. (2017). Predicting cyberbullying perpetration in emerging adults: A theoretical test of the Barlett Gentile Cyberbullying Model. Aggressive Behavior, 43(2), 147-154.

    Cook, C., Schaafsma, J., & Antheunis, M. (2018). Under the bridge: An in-depth examination of online trolling in the gaming context. New Media & Society, 20(9), 3323-3340.

    Cortina, J. M. (1993). What is coefficient alpha? An examination of theory and applications. Journal of Applied Psychology, 78(1), 98.

    Choi, D., & Kim, J. (2004). Why people continue to play online games: In search of critical design factors to increase customer loyalty to online contents. CyberPsychology & Behavior, 7(1), 11-24.

    Ducheneaut, N., Moore, R. J., & Nickell, E. (2004, December). Designing for sociability in massively multiplayer games: an examination of the “third places” of SWG. In Conference Proceedings for Other Players, Center for Computer Games Research, IT University of Copenhagen, DK.

    Ducheneaut, N., & Moore, R. J. (2004, November). The social side of gaming: a study of interaction patterns in a massively multiplayer online game. In Proceedings of the 2004 ACM Conference on Computer Supported Cooperative Work (pp. 360-369).

    de Mesquita Neto, J. A., & Becker, K. (2018). Relating conversational topics and toxic behavior effects in a MOBA game. Entertainment Computing, 26, 10-29.

    Das, G., Wiener, H. J., & Kareklas, I. (2019). To emoji or not to emoji? Examining the influence of emoji on consumer reactions to advertising. Journal of Business Research, 96, 147-156.

    Dürscheid, C., & Siever, C. M. (2017). Beyond the alphabet–communcataion of emojis. Kurzfassung eines (auf Deutsch) zur Publikation Eingereichten Manuskripts.

    Emmerich, K., Krekhov, A., & Krüger, J. (2020, November). " Pls Uninstall" On the Interplay of the COVID-19 Pandemic and Toxic Player Behavior in Competitive Gaming. In Extended Abstracts of the 2020 Annual Symposium on Computer Human Interaction in Play (pp. 224-228).

    Grandprey-Shores, K., He, Y., Swanenburg, K. L., Kraut, R., & Riedl, J. (2014, February). The identification of deviance and its impact on retention in a multiplayer game. In Proceedings of the 17th ACM Conference on Computer Supported Cooperative Work & Social Computing (pp.1356-1365).

    Ganster, T., Eimler, S. C., & Krämer, N. C. (2012). Same same but different!? The differential influence of smilies and emoticons on person perception. Cyberpsychology, Behavior, and Social Networking, 15(4), 226-230.

    Golf-Papez, M., & Veer, E. (2017). Don’t feed the trolling: rethinking how online trolling is being defined and combated. Journal of Marketing Management, 33(15-16), 1336-1354.

    Holtgraves, T., & Robinson, C. (2020). Emoji can facilitate recognition of conveyed indirect meaning. PloS One, 15(4), e0232361.

    Hayati, S. A., & Muis, A. O. (2019, June). Analyzing incorporation of emotion in emoji prediction. In Proceedings of the Tenth Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis (pp. 91-99).

    Jansz, J., & Martens, L. (2005). Gaming at a LAN event: the social context of playing video games. New Media & Society, 7(3), 333-355.

    Jansz, J., & Tanis, M. (2007). Appeal of playing online first person shooter games. Cyberpsychology & Behavior, 10(1), 133-136.

    Kaiser, E., & Grosz, P. G. (2021). Anaphoricity in emoji: An experimental investigation of face and non-face emoji. Proceedings of the Linguistic Society of America, 6(1), 1009-1023.

    Kou, Y., Gui, X., Zhang, S., & Nardi, B. (2017). Managing disruptive behavior through non-hierarchical governance: Crowdsourcing in League of Legends and Weibo. Proceedings of the ACM on Human-Computer Interaction, 1(CSCW), 117.

    Kuchera, B. (2014). Blizzard silenced Hearthstone players, and it made the game amazing. Polygon. Retrieved January, 6, 2018.

    Kwak, H., & Blackburn, J. (2014, November). Linguistic analysis of toxic behavior in an online video game. In International Conference on Social Informatics (pp. 209- 217). Springer, Cham.

    Kwak, H., Blackburn, J., & Han, S. (2015, April). Exploring cyberbullying and other toxic behavior in team competition online games. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (pp. 3739- 3748).

    Kordyaka, B., Klesel, M., & Jahn, K. (2019). Perpetrators in league of legends: scale development and validation of toxic behavior.

    Lohmann, K., Pyka, S. S., & Zanger, C. (2017). The effects of smileys on receivers’ emotions. Journal of Consumer Marketing.

    Lu, X., Ai, W., Liu, X., Li, Q., Wang, N., Huang, G., & Mei, Q. (2016, September). Learning from the ubiquitous language: an empirical analysis of emoji usage of smartphone users. In Proceedings of the 2016 ACM International Joint Conference on Pervasive and Ubiquitous Computing (pp. 770-780).

    Lenhart, A., Kahne, J., Middaugh, E., Macgill, A. R., Evans, C., & Vitak, J. (2008). Teens, Video Games, and Civics: Teens` Gaming Experiences Are Diverse and Include Significant Social Interaction and Civic Engagement. Pew Internet & American Life Project.

    Mulligan, J., & Patrovsky, B. (2003). Developing Online games: an insider`s guide.

    Maher, B. (2016). Can a video game company tame toxic behaviour?. Nature, 531(7596), 568-572.

    Neto, J. A., Yokoyama, K. M., & Becker, K. (2017, August). Studying toxic behavior influence and player chat in an online video game. In Proceedings of the International Conference on Web Intelligence (pp. 26-33).

    Preece, J., & Maloney-Krichmar, D. (2003). Online communities: focusing on sociability and usability. Handbook of Human-Computer Interaction, 596-620.

    Peña, J., Hancock, J. T., & Merola, N. A. (2009). The priming effects of avatars in virtual settings. Communication Research, 36(6), 838-856.

    Park, K., Cha, M., Kwak, H., & Chen, K. T. (2017, April). Achievement and friends: Key factors of player retention vary across player levels in online multiplayer games. In Proceedings of the 26th International Conference on World Wide Web Companion (pp. 445-453).

    Rodrigues, D., Lopes, D., Prada, M., Thompson, D., & Garrido, M. V. (2017). A frown emoji can be worth a thousand words: Perceptions of emoji use in text messages exchanged between romantic partners. Telematics and Informatics, 34(8), 1532- 1543.

    Rodden, K., Hutchinson, H., & Fu, X. (2010, April). Measuring the user experience on a large scale: user-centered metrics for web applications. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (pp. 2395-2398).

    Rockwell, P. (2000). Lower, slower, louder: Vocal cues of sarcasm. Journal of Psycholinguistic Research, 29(5), 483-495.

    Thacker, S., & Griffiths, M. D. (2012). An exploratory study of trolling in online video gaming. International Journal of Cyber Behavior, Psychology and Learning (IJCBPL), 2(4), 17-33.

    Vorderer, P., Hartmann, T., & Klimmt, C. (2003, May). Explaining the enjoyment of playing video games: the role of competition. In Proceedings of the Second International Conference on Entertainment Computing (pp. 1-9).

    Velez, J. A. (2015). Extending the theory of bounded generalized reciprocity: An explanation of the social benefits of cooperative video game play. Computers in Human Behavior, 48, 481-491.

    Wadley, G., Gibbs, M., Hew, K., & Graham, C. (2003, November). Computer supported cooperative play,“third places” and online videogames. In Proceedings 2003 Australasian Computer Human Interaction Conference (OzCHI 2003), Ergonomics Society of Australia, Canberra (pp. 238-241).

    Williams, D., & Skoric, M. (2005). Internet fantasy violence: A test of aggression in an online game. Communication Monographs, 72(2), 217-233.

    Wicke, P., & Cunha, J. M. (2020). : books:: arrow_right:: slight_smile: An Approach for Text-to-Emoji Translation. In ICCC (pp. 504-507).

    Yee, N. (2006). Motivations for play in online games. CyberPsychology & Behavior, 9(6), 772-775.

    Yıldırım, N. (2022). The Bullying Game: Sexism Based Toxic Language Analysis on Online Games Chat Logs by Text Mining. Journal of International Women`s Studies, 24(3), 7.
    描述: 碩士
    國立政治大學
    資訊科學系
    108753142
    資料來源: http://thesis.lib.nccu.edu.tw/record/#G0108753142
    資料類型: thesis
    DOI: 10.6814/NCCU202201699
    顯示於類別:[資訊科學系] 學位論文

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