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Industrial Journalism

Snurb — Sunday 23 June 2024 13:01

Identity Groups of News-Sharers on Twitter in the Netherlands

Politics | Gatewatching and Citizen Journalism | Journalism | Industrial Journalism | Social Media | Twitter | ICA 2024 |

The third speaker in this ICA 2024 conference session is Iris Baas, whose interest is in the self-identity of Dutch Twitter users who share the news. Twitter is (even now, following its enshittification) a key platform especially for news consumption in the Netherlands, and who is sharing news on the platform is therefore centrally important. Are there district groups of such users, then – and what news do they share?

This project worked with the Twitter bios of such news-sharing users to determine patterns in their identities; it drew on some 400,000 tweets from 2021 (that were still online, from …

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Snurb — Sunday 23 June 2024 13:00

Relevance Considerations in the Sharing of News in South Korea

Gatewatching and Citizen Journalism | Journalism | Industrial Journalism | Social Media | ICA 2024 |

The next speaker at the ICA 2024 conference is Jennifer Ihm, who begins by outlining key interests in news-sharing research: such content has been studied for its information value as well as its viral dissemination. But how do social media users assess the value and relevance of the news being shared? There might be two types of self-presentational value in news-sharing: based on self-constructive motivations, or based on audience-pleasing motivations (relational, informational, or entertainment aspects may all contribute here).

Issue relevance in news articles may be at the personal, audience, or societal level, then: personal relevance is likely to be …

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Snurb — Sunday 23 June 2024 12:59

Platform-Based Uses and Gratifications in News-Sharing in Taiwan

Politics | Gatewatching and Citizen Journalism | Journalism | Industrial Journalism | Social Media | Facebook | ICA 2024 |

The next session at the ICA 2024 conference is on news-sharing, and starts with Shu-Chu Sarrina Li, whose focus is on Facebook, Instagram, and Line in Taiwan. Social media are very popular in Taiwan – some 91% are regular Line users, 85% use Facebook, and 65% use Instagram, and half of all Taiwanese use some of these platforms to use and share news as well.

This paper approaches these practices through niche theory, which encourages scholars to explore media resource utilisation by identifying the breadth of the niches that such media address, and the overlap between the niches addressed by …

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Snurb — Sunday 23 June 2024 11:35

Exploring the Optimum Level of Cross-Cutting Media Exposure

Politics | Polarisation | Journalism | Industrial Journalism | ICA 2024 |

The next session at the ICA 2024 conference is on polarisation, and starts with the great Helena Rauxloh. Her paper emerges from the POLTRACK project led by Lisa Merten, which builds on longitudinal Web tracking and survey data from some 4,000 participants in Germany. The key concept in this study is political efficacy, which is the feeling that political action has an impact on political processes. This divide into internal and external efficacy as experienced by individuals, and such efficacy mediates news exposure and political engagement. It is thus a precondition for political participation.

Another aspect to consider here is …

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Snurb — Saturday 22 June 2024 17:13

Analysing Problematic Information Sharing Patterns on Facebook at Scale and over Time

Politics | Polarisation | Journalism | Industrial Journalism | ‘Fake News’ | Social Media | Facebook | Social Media Network Mapping | Evaluating the Challenge of ‘Fake News’ and Other Malinformation (ARC Discovery) | ICA 2024 |

The next session at the ICA 2024 conference starts with a paper that my QUT Digital Media Research Centre colleague Dan Angus and I are presenting, so I’ll blog Dan’s part and then leave it to our slides to explain my contribution. Our work is part of a large project that investigates the dissemination of problematic, ‘fake news’ content on social media platforms.

We approached this by constructing a masterlist of some 2,300 problematic information domains which have been identified in past research, with a focus mostly on the United States, and building a research stack around that seed list …

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Snurb — Friday 21 June 2024 17:25

Affective Polarisation and Media Use in Italy

Politics | Elections | Polarisation | Journalism | Industrial Journalism | ICA 2024 |

The final speaker in this ICA 2024 conference session is David Coppini, whose interest is in news consumption and affective polarisation in the Italian context. Italy has a polarised pluralistic media system: the multi-party political system, comprised of three key blocs, is mirrored to some extent by an aligned polarised media system, but there is also a group of broadly neutral news organisations.

Affective polarisation in such a political system may also be associated with divergent patterns of news consumption, but may also be affected by partisan identity or policy preferences. The present study examines this through a two-wave survey …

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Snurb — Friday 21 June 2024 17:23

Polarised Media Framing of Climate Protests in Germany and Australia

Politics | Polarisation | Journalism | Industrial Journalism | Dynamics of Partisanship and Polarisation in Online Public Debate (ARC Laureate Fellowship) | ICA 2024 |

Up next in this ICA 2024 conference session is my excellent QUT colleague Katharina Esau, presenting a study on the news media framing of both mainstream and more disruptive climate protests in Germany and Australia. This included both the peaceful protests Fridays for Future and School Strike for Climate as well as well as the actions of Letzte Generation and Extinction Rebellion that blocked traffic and staged symbolic protests in art galleries.

Here are the slides, and the liveblog continues below:

Polarised Media Framing of Climate Protests from Axel Bruns

How the news media frame such protests matters. Frames influence …

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Snurb — Friday 21 June 2024 16:10

Trends in Qualitative Research Methods in Journalism Studies Articles over Time

Journalism | Industrial Journalism | ICA 2024 |

The fourth speaker in this session at the ICA 2024 conference is Michael Dieringer, with yet another systematic review of the journalism studies literature, focussing here especially on epistemological and methodological approaches and trends specifically in qualitative journalism research work over time. Such shifts reflect the key issues of the time, as well as fashions in research approaches.

The most common perspective that this study found was a sociological perspective, followed by an implicit use of grounded theory approaches. Articles that did not directly use a theoretical framework often developed one of their own, drawing on a multi-stakeholder approach. Discourse …

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Snurb — Friday 21 June 2024 16:09

A Bibliometric Network of Journalism Research

Journalism | Industrial Journalism | ICA 2024 |

Next up in this ICA 2024 conference session is Yangliu Fan, who presents a bibliometric study of journalism studies publications. This study focussed on the published literature in the field since 1995, examining these publications by understanding their citation patterns. It drew on the full set of publications from the five major journalism journals between 1995 and 2022 – some 6,770 articles – from the OpenAlex database, and examined their co-citation networks: these occur when two earlier articles are cited together in one or more later articles.

The resultant network contained some 5,700 articles connected by 305,000 links, and identified …

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Snurb — Friday 21 June 2024 14:01

Starting the Conversation about Generative AI in Journalistic Processes

Journalism | Industrial Journalism | Artificial Intelligence | ICA 2024 |

The post-lunch session at the ICA 2024 conference that I’m attending has been organised by the Global Journalism Innovation Lab (GJIL) project, and focusses on AI-generated content in the news. Elizabeth Dubois starts us off by defining generative AI as a type of artificial intelligence system which is capable of generating text, images, and other media in response to prompts. Such generative AI models learn the patterns and structure of their input training data, and then generate new data that have similar characteristics.

Michelle Bartleman now takes over by presenting an updated systematic literature review of journalism scholarship on automated …

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