Pub Date : 2023-11-16DOI: 10.1080/21670811.2023.2278040
Lindita Camaj, Gerry Lanosga, Jason Martin
It is widely accepted that data materiality serves as the breeding ground of data journalism’s performativity, in some cases functioning as the sole ingredient for news construction. Material ident...
人们普遍认为，数据的实质性是数据新闻表现的温床，在某些情况下，它是新闻结构的唯一成分。材料识别……
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Pub Date : 2023-11-09DOI: 10.1080/21670811.2023.2273529
Dan Wang, Steve Zhongshi Guo
This study examines the transforming power of aggregation in a traditional newsroom based on the practice theory approach. Through ethnographic observations of aggregated news production in action ...
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Pub Date : 2023-11-09DOI: 10.1080/21670811.2023.2278053
Perry Parks
AbstractThis study provides empirical support for undertheorized phenomena in contemporary digital news reporting—the foregrounding of joy-based news values and the presentation of affective, immanent atmospheres—as they manifest in U.S. National Public Radio correspondent Tim Mak’s daily Twitter threads from the 2022 Russian invasion of Ukraine. Multimodal textual analysis of 647 tweets over 31 threads shows how affordances of newer media platforms facilitate a shift toward affective, immanent, and engaged journalism that blends traditional news style and judgment seamlessly with personal observations, contextual curation, stream-of-consciousness detail selection, and audience interaction to produce a kind of hybrid journalism that might foreshadow a transformation not just in reporters’ interaction with audiences, but also in an undertheorized reorientation to news itself.Keywords: Affectimmanencejoymultimodal analysisnews valuesnon-representational theorytextual analysisTwitter Disclosure StatementNo potential conflict of interest was reported by the author(s).Notes1 Mak later returned for additional reporting.2 An anonymous reviewer has pointed out that, after this paper was submitted, the Dalai Lama encouraged a child during a public ceremony to “suck my tongue,” an act that has been variably characterized as a case of abuse or a cultural misunderstanding (Pundir Citation2023). This puts the researcher in a difficult yet familiar position, as many people whom scholars have cited through the ages have engaged in controversial or reprehensible behavior. I present the intellectual framework of joy here independently of the Lama’s recent actions and their interpretations.3 Twitter was purchased by billionaire iconoclast Elon Musk in October 2022, throwing the platform into chaos. While its fundamental affordances remain basically intact as of this writing, the site is regressing in numerous ways and is now apparently called X.4 All tweets are quoted as best as possible exactly according to the spelling, abbreviations, and punctuation Mak used. Line breaks are occasionally, but not always, preserved to reproduce specific formal effects.
{"title":"“Find the Joy”: A War Correspondent’s Tweets and the Rise of an Affective Age in News","authors":"Perry Parks","doi":"10.1080/21670811.2023.2278053","DOIUrl":"https://doi.org/10.1080/21670811.2023.2278053","url":null,"abstract":"AbstractThis study provides empirical support for undertheorized phenomena in contemporary digital news reporting—the foregrounding of joy-based news values and the presentation of affective, immanent atmospheres—as they manifest in U.S. National Public Radio correspondent Tim Mak’s daily Twitter threads from the 2022 Russian invasion of Ukraine. Multimodal textual analysis of 647 tweets over 31 threads shows how affordances of newer media platforms facilitate a shift toward affective, immanent, and engaged journalism that blends traditional news style and judgment seamlessly with personal observations, contextual curation, stream-of-consciousness detail selection, and audience interaction to produce a kind of hybrid journalism that might foreshadow a transformation not just in reporters’ interaction with audiences, but also in an undertheorized reorientation to news itself.Keywords: Affectimmanencejoymultimodal analysisnews valuesnon-representational theorytextual analysisTwitter Disclosure StatementNo potential conflict of interest was reported by the author(s).Notes1 Mak later returned for additional reporting.2 An anonymous reviewer has pointed out that, after this paper was submitted, the Dalai Lama encouraged a child during a public ceremony to “suck my tongue,” an act that has been variably characterized as a case of abuse or a cultural misunderstanding (Pundir Citation2023). This puts the researcher in a difficult yet familiar position, as many people whom scholars have cited through the ages have engaged in controversial or reprehensible behavior. I present the intellectual framework of joy here independently of the Lama’s recent actions and their interpretations.3 Twitter was purchased by billionaire iconoclast Elon Musk in October 2022, throwing the platform into chaos. While its fundamental affordances remain basically intact as of this writing, the site is regressing in numerous ways and is now apparently called X.4 All tweets are quoted as best as possible exactly according to the spelling, abbreviations, and punctuation Mak used. Line breaks are occasionally, but not always, preserved to reproduce specific formal effects.","PeriodicalId":11166,"journal":{"name":"Digital Journalism","volume":" 22","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-11-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"135241457","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-10-17DOI: 10.1080/21670811.2023.2261030
Espen Sørmo Strømme
For journalists, numerous digital tools such as spreadsheets or web application are readily available for easy implementation. However, using programming to build or modify scripts has been an unex...
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Pub Date : 2023-10-12DOI: 10.1080/21670811.2023.2257768
Mike Ananny
To understand how journalism is made and what news is, it is helpful to center “the press” as an object of analysis and concern, a way to see the conditions under which news is made and made meanin...
{"title":"What a “Platform Press” View Has to Offer","authors":"Mike Ananny","doi":"10.1080/21670811.2023.2257768","DOIUrl":"https://doi.org/10.1080/21670811.2023.2257768","url":null,"abstract":"To understand how journalism is made and what news is, it is helpful to center “the press” as an object of analysis and concern, a way to see the conditions under which news is made and made meanin...","PeriodicalId":11166,"journal":{"name":"Digital Journalism","volume":"11 4","pages":""},"PeriodicalIF":5.4,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50164613","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
In this introduction, we draw together the articles in the special issue on the platformization of news, highlighting that the articles contribute by answering two central questions. First, what is...
{"title":"Autonomies and Dependencies: Shifting Configurations of Power in the Platformization of News","authors":"Jannie Møller Hartley, Caitlin Petre, Mette Bengtsson, Aske Kammer","doi":"10.1080/21670811.2023.2257759","DOIUrl":"https://doi.org/10.1080/21670811.2023.2257759","url":null,"abstract":"In this introduction, we draw together the articles in the special issue on the platformization of news, highlighting that the articles contribute by answering two central questions. First, what is...","PeriodicalId":11166,"journal":{"name":"Digital Journalism","volume":"11 5","pages":""},"PeriodicalIF":5.4,"publicationDate":"2023-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50164612","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-26DOI: 10.1080/21670811.2023.2250395
Berber Hagedoorn, Elisabetta Costa, Marc Esteve-del-Valle
Sharing and discussing visual images in WhatsApp groups functions as a form of phatic news sharing to achieve a sense of togetherness and sociability. We explore how visual media content shared in personal WhatsApp interactions during the first strict lockdown months of the COVID-19 pandemic functions as phatic news. Our study addresses a gap in journalism studies in researching news-related and visual content from user perspectives. Our article provides insights into how the “semi-private” space of WhatsApp offers people a digital communication space to deal with becoming a news subject during the crisis: people appropriate news by shaping it into different visual forms which can be attractively shared on WhatsApp. We focus on working adults (aged 25–49) in urban areas in Spain, Italy, and the Netherlands. Visual phatic news sharing on WhatsApp combines public and private aspects, especially how people address issues of public concern through their private WhatsApp communication. Our conclusions reveal how WhatsApp functions as a sense-making practice and vehicle for ontological security in dealing with the fearful and unsettling crisis situation. The visual images shared are a hybrid form of communication, blurring boundaries between private life and public concerns presented on the news.
{"title":"Photographs, Visual Memes, and Viral Videos: Visual Phatic News Sharing on WhatsApp during the COVID-19 Pandemic in Spain, Italy, and The Netherlands","authors":"Berber Hagedoorn, Elisabetta Costa, Marc Esteve-del-Valle","doi":"10.1080/21670811.2023.2250395","DOIUrl":"https://doi.org/10.1080/21670811.2023.2250395","url":null,"abstract":"Sharing and discussing visual images in WhatsApp groups functions as a form of phatic news sharing to achieve a sense of togetherness and sociability. We explore how visual media content shared in personal WhatsApp interactions during the first strict lockdown months of the COVID-19 pandemic functions as phatic news. Our study addresses a gap in journalism studies in researching news-related and visual content from user perspectives. Our article provides insights into how the “semi-private” space of WhatsApp offers people a digital communication space to deal with becoming a news subject during the crisis: people appropriate news by shaping it into different visual forms which can be attractively shared on WhatsApp. We focus on working adults (aged 25–49) in urban areas in Spain, Italy, and the Netherlands. Visual phatic news sharing on WhatsApp combines public and private aspects, especially how people address issues of public concern through their private WhatsApp communication. Our conclusions reveal how WhatsApp functions as a sense-making practice and vehicle for ontological security in dealing with the fearful and unsettling crisis situation. The visual images shared are a hybrid form of communication, blurring boundaries between private life and public concerns presented on the news.","PeriodicalId":11166,"journal":{"name":"Digital Journalism","volume":"41 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134887208","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-22DOI: 10.1080/21670811.2023.2255224
Damian Trilling, Erik Knudsen
What makes people share political news on Facebook? Prior studies have identified how different features predict audiences’ likelihood to share news on social media – the so-called shareworthiness ...
{"title":"Drivers of News Sharing: How Context, Content, and User Features Shape Sharing Decisions on Facebook","authors":"Damian Trilling, Erik Knudsen","doi":"10.1080/21670811.2023.2255224","DOIUrl":"https://doi.org/10.1080/21670811.2023.2255224","url":null,"abstract":"What makes people share political news on Facebook? Prior studies have identified how different features predict audiences’ likelihood to share news on social media – the so-called shareworthiness ...","PeriodicalId":11166,"journal":{"name":"Digital Journalism","volume":"10 21","pages":""},"PeriodicalIF":5.4,"publicationDate":"2023-09-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50164621","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-14DOI: 10.1080/21670811.2023.2254811
Michael Koliska, Prashanth Bhat, Utsav Gandhi
Abstract
During the 2019 Indian general election, Indian prime minister Narendra Modi launched his #MainBhiChowkidar (I am also a watchman) campaign, which can be understood as an attempt to undermine the institutionalized watchdog or monitoring system, including journalism, in democratic India. Through the lens of positioning theory, this qualitative study examines how 89 Indian journalists responded to Modi’s populist campaign on Twitter. Findings show that the Indian journalists used self-positioning but especially other-positioning practices to discursively negotiate their position as watchdogs of Indian society. The other-positioning practices reveal that the journalists position Modi and his followers as “fake” and “failed” Chowkidar by providing evidence that the self-appointed Chowkidars are derelict in fulfilling their duties as watchmen. Thus, instead of engaging in an outright discursive struggle with Modi over the watchdog position in society, Indian journalists upheld their position by acting like watchdogs.
{"title":"#MainBhiChowkidar (I Am Also a Watchman): Indian Journalists Responding to a Populist Campaign Challenging Their Watchdog Role in Society","authors":"Michael Koliska, Prashanth Bhat, Utsav Gandhi","doi":"10.1080/21670811.2023.2254811","DOIUrl":"https://doi.org/10.1080/21670811.2023.2254811","url":null,"abstract":"<p><b>Abstract</b></p><p>During the 2019 Indian general election, Indian prime minister Narendra Modi launched his #MainBhiChowkidar (I am also a watchman) campaign, which can be understood as an attempt to undermine the institutionalized watchdog or monitoring system, including journalism, in democratic India. Through the lens of positioning theory, this qualitative study examines how 89 Indian journalists responded to Modi’s populist campaign on Twitter. Findings show that the Indian journalists used self-positioning but especially other-positioning practices to discursively negotiate their position as watchdogs of Indian society. The other-positioning practices reveal that the journalists position Modi and his followers as “fake” and “failed” Chowkidar by providing evidence that the self-appointed Chowkidars are derelict in fulfilling their duties as watchmen. Thus, instead of engaging in an outright discursive struggle with Modi over the watchdog position in society, Indian journalists upheld their position by acting like watchdogs.</p>","PeriodicalId":11166,"journal":{"name":"Digital Journalism","volume":"10 16","pages":""},"PeriodicalIF":5.4,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"50164625","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2023-09-14DOI: 10.1080/21670811.2023.2254820
Myojung Chung, Won-Ki Moon, S. Mo Jones-Jang
AbstractWhile fact-checking has received much attention as a tool to fight misinformation online, fact-checking efforts have yielded limited success in combating political misinformation due to partisans’ biased information processing. The efficacy of fact-checking often decreases, if not backfires, when the fact-checking messages contradict individual audiences’ political stance. To explore ways to minimize such politically biased processing of fact-checking messages, an online experiment (N = 645) examined how different source labels of fact-checking messages (human experts vs. AI vs. crowdsourcing vs. human experts-AI hybrid) influence partisans’ processing of fact-checking messages. Results showed that AI and crowdsourcing source labels significantly reduced motivated reasoning in evaluating the credibility of fact-checking messages whereas the partisan bias remained evident for the human experts and human experts-AI hybrid source labels.Keywords: AIartificial intelligencefact-checkingmisinformationmessage credibilityfake newsmotivated reasoningsocial media Disclosure StatementNo potential conflict of interest was reported by the author(s).Notes1 A series of analysis of variance (ANOVA) and Chi-square tests found no significant demographic differences between conditions (p = .099 for age; p = .522 for gender; p = .417 for income; p = .364 for education; p = .549 for political partisanship; p = .153 for political ideology, p = .493 for frequency of social media use). Thus, randomization was deemed successful.2 To further explore differences in message credibility across the four fact-checking source labels, one-way ANOVA and a Bonferroni post hoc test were conducted. The results showed that there are significant differences across the four source labels in shaping message credibility, F(3, 641) = 2.82, p = .038, Cohen’s d = 0.23. Those in the AI condition reported the highest message credibility (M = 3.89, SD = 0.79), followed by the human experts condition (M = 3.86, SD = 0.89) and the human experts-AI condition (M = 3.84, SD = 0.81). The crowdsourcing condition showed the lowest message credibility (M = 3.66, SD = 0.81). The post hoc test indicated that the AI source label induced significantly higher message credibility than the crowdsourcing source label (p = .042). However, no significant differences were found among other source labels.
{"title":"AI as an Apolitical Referee: Using Alternative Sources to Decrease Partisan Biases in the Processing of Fact-Checking Messages","authors":"Myojung Chung, Won-Ki Moon, S. Mo Jones-Jang","doi":"10.1080/21670811.2023.2254820","DOIUrl":"https://doi.org/10.1080/21670811.2023.2254820","url":null,"abstract":"AbstractWhile fact-checking has received much attention as a tool to fight misinformation online, fact-checking efforts have yielded limited success in combating political misinformation due to partisans’ biased information processing. The efficacy of fact-checking often decreases, if not backfires, when the fact-checking messages contradict individual audiences’ political stance. To explore ways to minimize such politically biased processing of fact-checking messages, an online experiment (N = 645) examined how different source labels of fact-checking messages (human experts vs. AI vs. crowdsourcing vs. human experts-AI hybrid) influence partisans’ processing of fact-checking messages. Results showed that AI and crowdsourcing source labels significantly reduced motivated reasoning in evaluating the credibility of fact-checking messages whereas the partisan bias remained evident for the human experts and human experts-AI hybrid source labels.Keywords: AIartificial intelligencefact-checkingmisinformationmessage credibilityfake newsmotivated reasoningsocial media Disclosure StatementNo potential conflict of interest was reported by the author(s).Notes1 A series of analysis of variance (ANOVA) and Chi-square tests found no significant demographic differences between conditions (p = .099 for age; p = .522 for gender; p = .417 for income; p = .364 for education; p = .549 for political partisanship; p = .153 for political ideology, p = .493 for frequency of social media use). Thus, randomization was deemed successful.2 To further explore differences in message credibility across the four fact-checking source labels, one-way ANOVA and a Bonferroni post hoc test were conducted. The results showed that there are significant differences across the four source labels in shaping message credibility, F(3, 641) = 2.82, p = .038, Cohen’s d = 0.23. Those in the AI condition reported the highest message credibility (M = 3.89, SD = 0.79), followed by the human experts condition (M = 3.86, SD = 0.89) and the human experts-AI condition (M = 3.84, SD = 0.81). The crowdsourcing condition showed the lowest message credibility (M = 3.66, SD = 0.81). The post hoc test indicated that the AI source label induced significantly higher message credibility than the crowdsourcing source label (p = .042). However, no significant differences were found among other source labels.","PeriodicalId":11166,"journal":{"name":"Digital Journalism","volume":"219 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-09-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134910788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"文学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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