全球智能传播研究2023年热点议题:算法审计、算法文化与算法话语Hot Topics for Global Intelligent Communication Research 2023: Algorithmic Audit, Algorithmic Culture, and Algorithmic Discourse
师文,陈昌凤
摘要(Abstract):
全球智能传播研究十分关注算法衍生出的多个议题。本研究统计分析了2023年发表于国际国内代表性新闻传播期刊的智能传播论文的研究主题,提炼出“媒体机构与算法技术”“算法审计”“人机差异”“算法文化”“算法话语”五个核心研究方向。其中,“媒体机构与算法技术”主题侧重于探讨新闻机构对算法平台的依赖性以及新闻从业者的新闻价值追求与智能技术之间的张力;“算法审计”主题展现出关注对象更多元、设计更复杂、视角更广阔的动向,与“算法审计”相互补的研究思路也正在涌现;“人机差异”领域既涌现出大量针对特定应用的微观实证研究,也催生了对既有研究范式冲突的反思;“算法文化”主题特别强调算法对人类社会文化的反哺作用,从算法化自我、算法化连结、算法化媒介实践角度探讨“人机共建”的意义生成;“算法话语”被广泛用于分析洞察算法技术背后的意识形态研究,涉及媒体话语、科技公司话语、规范话语等维度。
关键词(KeyWords): 人工智能;算法;智能媒体;智能传播;算法新闻
基金项目(Foundation): 清华大学丰田联合研究基金专项资助;; 国家社会科学基金重大项目“智能时代的信息价值观引领研究”(项目批准号:18ZDA307)阶段性成果
作者(Author): 师文,陈昌凤
参考文献(References):
- 陈阳、李宛真、张喆喆(2023):数字新闻消费与人机关系——一项关于阅读机器人新闻的在线实验,《新闻记者》,第8期,40-50,85页。
- 程亚利、黄尤嘉(2023):算法信息茧房易感程度测量量表的开发与检验,《新闻界》,1-12页。
- 皇甫博媛(2023):“算法冒犯我”:用户与算法的情感实践及其自主性,《新闻大学》,第2期,16-27,117-118页。
- 黄阳坤、俞雅芸(2023):镜像与花园之辩:算法歧视争议下的价值目标与伦理实践——基于工程师的访谈,《国际新闻界》,第45卷第10期,91-111页。
- 简予繁、黄玉波(2023):人机互动:替代还是增强了人际互动?——角色理论视角下关于社交机器人的控制实验,《新闻大学》,第4期,75-90,122页。
- 赖楚谣(2023):递归式协商:短视频平台用户与算法的共生与互动——以“影响者”为中心的民族志研究,《新闻记者》,第10期,3-15页。
- 刘国强、张思雨(2023):算法失误会影响用户的使用意愿吗?——基于事实核查算法的实验研究,《新闻记者》,第10期,16-27页。
- 刘茜、汤清扬、闵勇、傅晨波、赵芸伟(2023):新闻推荐必然导致“茧房”效应吗?——基于模拟新闻平台的实验研究,《新闻大学》,第2期,28-43,118页。
- 师文、陈昌凤(2019):新闻专业性、算法与权力、信息价值观:2018全球智能媒体研究综述,《全球传媒学刊》,第6卷第1期,82-95页。
- 师文、陈昌凤(2020):驯化、人机传播与算法善用:2019年智能媒体研究,《新闻界》,第1期,19-24,45页。
- 师文、陈昌凤(2021):信息个人化与作为传播者的智能实体——聚焦2020年智能传播研究综述,《新闻记者》,第1期,90-96页。
- 师文、陈昌凤、吕宇翔(2022):逻辑、发现与局限:近五年来智媒研究的六种算法话语,《编辑之友》,第4期,82-89页。
- 师文、陈昌凤(2023):算法“不可为”与人机协商:全球智能媒体研究前沿趋势解析,《中国出版》,第10期,30-34页。
- 塔娜、林聪(2023):点击搜索之前:针对搜索引擎自动补全算法偏见的实证研究,《国际新闻界》,第45卷第8期,132-154页。
- 徐琦(2023):超越“计算机为社会行动者”范式:智媒时代人机传播理论创新的突破点,《现代传播》,第45卷第6期,160-168页。
- 张梦、陈昌凤(2021):智媒研究综述:人工智能在新闻业中的应用及其伦理反思,《全球传媒学刊》,第8卷第1期,63-92页。
- 张萌、杨家明(2023):日常算法审计与计算基础设施修复——基于倒置视角的考察,《新闻大学》,第8期,88-100,120页。
- 朱威、王辰瑶(2023):传统新闻编辑室如何面对“算法”?——对N市三家报社算法新闻实践的实地研究,《新闻记者》,第8期,30-39,72页。
- Alper,M.,Rauchberg,J.S.,Simpson,E.,Guberman,J.& Feinberg,S.(2023).TikTok as algorithmically mediated biographical illumination:Autism,self-discovery,and platformed diagnosis on #autisktok.New Media & Society.doi:10.1177/14614448231193091.
- Asscher,O.& Glikson,E.(2023).Human evaluations of machine translation in an ethically charged situation.New Media & Society,25(5),1087-1107.doi:10.1177/14614448211018833.
- Avella,H.(2023).“TikTok ≠ therapy”:Mediating mental health and algorithmic mood disorders.New Media & Society.doi:10.1177/14614448221147284.
- Bandy,J.& Diakopoulos,N.(2023).Facebook's news feed algorithm and the 2020 US election.Social Media + Society,9(3).doi:10.1177/20563051231196898.
- Beer,D.,Wallace,A.,Ciocanel,A.,Burrows,R.& Cussens,J.(2023).Automation hesitancy:Confidence deficits,established limits and notional horizons in the application of algorithms within the private rental sector in the UK.Information,Communication & Society,1-16.doi:10.1080/1369118X.2023.2264954.
- Büchi,M.,Fosch-Villaronga,E.,Lutz,C.,Tamò-Larrieux,A.& Velidi,S.(2023).Making sense of algorithmic profiling:User perceptions on Facebook.Information,Communication & Society,26(4),809-825.doi:10.1080/1369118X.2021.1989011.
- Chae,S.W.& Hara,N.(2023).Exploring how a YouTube channel's political stance is associated with early COVID-19 communication on YouTube.Information,Communication & Society,1-27.doi:10.1080/1369118X.2023.2227674.
- Chen,W.H.& Wang,M.(2023).Regulating the use of facial recognition technology across borders:A comparative case analysis of the European Union,the United States,and China.Telecommunications Policy,47(2),102482.doi:10.1016/j.telpol.2022.102482.
- Christian,B.(2020).The alignment problem:Machine learning and human values.W.W.Norton & Company.
- Chung,M.,Moon,W.K.& Jones-Jang,S.M.(2023).AI as an apolitical referee:Using alternative sources to decrease partisan biases in the processing of fact-checking messages.Digital Journalism,1-22.doi:10.1080/21670811.2023.2254820.
- Ekstr?m,A.G.,Madison,G.,Olsson,E.J.& Tsapos,M.(2023).The search query filter bubble:Effect of user ideology on political leaning of search results through query selection.Information,Communication & Society,1-17.doi:10.1080/1369118X.2023.2230242.
- Giomelakis,D.(2023).Semantic search engine optimization in the news media industry:Challenges and impact on media outlets and journalism practice in Greece.Social Media + Society,9(3).doi:10.1177/20563051231195545.
- Gon?alves,J.,Weber,I.,Masullo,G.M.,da Silva,M.T.& Hofhuis,J.(2023).Common sense or censorship:How algorithmic moderators and message type influence perceptions of online content deletion.New Media & Society,25(10),2595-2617.doi:10.1177/14614448211032310.
- Gutierrez Lopez,M.,Porlezza,C.,Cooper,G.,Makri,S.,MacFarlane,A.& Missaoui,S.(2023).A question of design:Strategies for embedding AI-driven tools into journalistic work routines.Digital Journalism,11(3),484-503.doi:10.1080/21670811.2022.2043759.
- Hagar,N.& Diakopoulos,N.(2023).Algorithmic indifference:The dearth of news recommendations on TikTok.New Media & Society.doi:10.1177/1461444823119296.
- Hsiao,W.J.& Shorey,S.(2023).Machine visions:A corporate imaginary of artificial sight.New Media & Society.doi:10.1177/14614448231176765.
- Huang,G.X.& Wang,S.(2023).Is artificial intelligence more persuasive than humans?A meta-analysis.Journal of Communication,73(6),552-562.doi:10.1093/joc/jqad024.
- Ieracitano,F.,Vigneri,F.& Comunello,F.(2023).‘I'm not bad,I'm just… drawn that way’:Media and algorithmic systems logics in the Italian Google Images construction of (cr) immigrants' communities.Information,Communication & Society,1-20.doi:10.1080/1369118X.2023.2205928.
- Jacobsen,B.N.(2023).Regimes of recognition on algorithmic media.New Media & Society,25(12),3641-3656.doi:10.1177/14614448211053555.
- Jaidka,K.,Mukerjee,S.& Lelkes,Y.(2023).Silenced on social media:The gatekeeping functions of shadowbans in the American Twitterverse.Journal of Communication,73(2),163-178.doi:10.1093/joc/jqac050.
- Jin,X.Y.,Zhang,Z.Y.,Gao,B.W.,Gao,S.Q.,Zhou,W.B.,Yu,N.H.& Wang,G.Y.(2023).Assessing the perceived credibility of deepfakes:The impact of system-generated cues and video characteristics.New Media & Society.doi:10.1177/14614448231199664.
- Johnson,P.R.(2023).A case of claims and facts:Automated fact-checking the future of journalism's authority.Digital Journalism,1-24.doi:10.1080/21670811.2023.2174564.
- Jones,C.(2023).Search engine discourse analysis:How ‘shadowban’ affects policy.Information,Communication & Society,1-18.doi:10.1080/1369118X.2023.2232847.
- Knudsen,E.(2023).Modeling news recommender systems' conditional effects on selective exposure:Evidence from two online experiments.Journal of Communication,73(2),138-149.doi:10.1093/joc/jqac047.
- Kopelman,S.& Frosh,P.(2023).The “algorithmic as if”:Computational resurrection and the animation of the dead in Deep Nostalgia.New Media & Society.doi:10.1177/14614448231210268.
- Lee,E.J.(2023).Minding the source:Toward an integrative theory of human-machine communication.Human Communication Research,hqad034.doi:10.1093/hcr/hqad034.
- Lehtiniemi,T.(2023).Contextual social valences for artificial intelligence:Anticipation that matters in social work.Information,Communication & Society,1-16.doi:10.1080/1369118X.2023.2234987.
- Lew,Z.& Walther,J.B.(2023).Social scripts and expectancy violations:Evaluating communication with human or AI Chatbot interactants.Media Psychology,26(1),1-16.doi:10.1080/15213269.2022.2084111.
- Liao,W.,Oh,Y.J.,Feng,B.& Zhang,J.W.(2023).Understanding the influence discrepancy between human and artificial agent in advice interactions:The role of stereotypical perception of agency.Communication Research.doi:10.1177/00936502221138427.
- Lin,H.,Wang,Y.& Kim,Y.(2023).The rich get richer and the poor get poorer?The effect of news recommendation algorithms in exacerbating inequalities in news engagement and social capital.New Media & Society.doi:10.1177/14614448231168572.
- Lischka,J.A.& Garz,M.(2023).Clickbait news and algorithmic curation:A game theory framework of the relation between journalism,users,and platforms.New Media & Society,25(8),2073-2094.doi:10.1177/1461 4448211027174.
- Liu,T.T.,Tan,C.K.K.,Yang,X.B.& Li,M.(2023).Zhibo gonghui:China's ‘live-streaming guilds’ of manipulation experts.Information,Communication & Society,26(6),1210-1225.doi:10.1080/1369118X.2021.1994630.
- Low,B.,Ehret,C.& Hagh,A.(2023).Algorithmic imaginings and critical digital literacy on #BookTok.New Media & Society.doi:10.1177/14614448231206466.
- MacDonald,T.W.L.(2023).“How it actually works”:Algorithmic lore videos as market devices.New Media & Society,25(6),1412-1431.doi:10.1177/14614448211021404.
- Martens,M.,De Wolf,R.,Berendt,B.& De Marez,L.(2023).Decoding algorithms:Exploring end-users' mental models of the inner workings of algorithmic news recommenders.Digital Journalism,11(1),203-225.doi:10.1080/21670811.2022.2129402.
- Messingschlager,T.V.& Appel,M.(2023).Mind ascribed to AI and the appreciation of AI-generated art.New Media & Society.doi:10.1177/14614448231200248.
- Moats,D.& Tseng,Y.S.(2023).Sorting a public?Using quali-quantitative methods to interrogate the role of algorithms in digital democracy platforms.Information,Communication & Society,1-35.doi:10.1080/1369118X.2023.2230286.
- M?ller,L.A.(2023).Designing algorithmic editors:How newspapers embed and encode journalistic values into news recommender systems.Digital Journalism,1-19.doi:10.1080/21670811.2023.2215832.
- Nguyen,D.& Beijnon,B.(2023).The data subject and the myth of the ‘black box’ data communication and critical data literacy as a resistant practice to platform exploitation.Information,Communication & Society,1-17.doi:10.1080/1369118X.2023.2205504.
- Oeldorf-Hirsch,A.& Neubaum,G.(2023).Attitudinal and behavioral correlates of algorithmic awareness among German and U.S.social media users.Journal of Computer-Mediated Communication,28(5),zmad035.doi:10.1093/jcmc/zmad035.
- Paik,S.(2023).Journalism ethics for the algorithmic era.Digital Journalism,1-27.doi:10.1080/21670811.2023.2200195.
- Ratner,Y.,Dvir Gvirsman,S.& Ben-David,A.(2023).“Saving journalism from facebook's death grip”?The implications of content-recommendation platforms on publishers and their audiences.Digital Journalism,11(8),1410-1431.doi:10.1080/21670811.2023.2180403.
- Robertson,A.& Maccarone,M.(2023).AI narratives and unequal conditions.Analyzing the discourse of liminal expert voices in discursive communicative spaces.Telecommunications Policy,47(5),102462.doi:10.1016/j.telpol.2022.102462.
- Saurwein,F.,Brantner,C.& M?ck,L.(2023).Responsibility networks in media discourses on automation:A comparative analysis of social media algorithms and social companions.New Media & Society.doi:10.1177/14614448231203310.
- Schellingerhout,R.,Beraldo,D.& Marx,M.(2023).Accounting for personalization in personalization algorithms:YouTube's treatment of conspiracy content.Digital Journalism,1-29.doi:10.1080/21670811.2023.2209153.
- Schj?tt Hansen,A.& Hartley,J.M.(2023).Designing what's news:An ethnography of a personalization algorithm and the data-driven (Re)assembling of the news.Digital Journalism,11(6),924-942.doi:10.1080/21670811.2021.1988861.
- Simon,F.M.(2023).Escape me if you can:How AI reshapes news organisations' dependency on platform companies.Digital Journalism,1-22.doi:10.1080/21670811.2023.2287464.
- Steen,E.,Yurechko,K.& Klug,D.(2023).You can (not) say what you want:Using algospeak to contest and evade algorithmic content moderation on TikTok.Social Media + Society,9(3).doi:10.1177/20563051231194586.
- Swart,J.(2023).Tactics of news literacy:How young people access,evaluate,and engage with news on social media.New Media & Society,25(3),505-521.doi:10.1177/14614448211011447.
- Wang,J.P.,Qu,J.G.& Leo-Liu,J.(2023).An algorithmically woven community:Disclosing mental illness and connecting with similar others on an algorithm-mediated platform in China.Social Media + Society,9(4).doi:10.1177/20563051231205596.
- Zhang,Y.Y.,Huang,S.C.& Li,T.(2023).‘Push-and-pull’ for visibility:How do fans as users negotiate over algorithms with Chinese digital platforms?Information,Communication & Society,26(2),321-339.doi:10.1080/1369118X.2022.2161829.
- Zhao,L.X.(2023).Filter bubbles?Also protector bubbles! Folk theories of Zhihu algorithms among chinese gay men.Social Media + Society,9(2).doi:10.1177/20563051231168647.