Watching the Whole World: The Media Framing of Foreign Countries in US News and its Antecedents

Walter, Dror; Ophir, Yotam; Pruden, Meredith L.; Golan, Guy J.

doi:10.1080/1461670x.2022.2137838

Cited by 2 publications

(2 citation statements)

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“…Meanwhile, detection of generic frames is challenging for automated/automatic methods: Nicholls and Culpepper (2021) Nicholls & Culpepper, 2021). On the other hand, inductive methods have been applied to multi-topical news corpora before with the goal to identify generic frames (e.g., Walter et al, 2022).…”

Section: Generic Frame Detection As a Test Case And Ensuring Independ...mentioning

confidence: 99%

“…Several of these automatic inductive methods suggest human intervention at this stage. Walter and Ophir (2019)'s method, marketed as an "inductive mixed-method," also has this mapping of detected clusters from multi-topical news content to the generic frames (Walter et al, 2022). There have been concerns about the validity of this approach (e.g., Chan & Sältzer, 2020) and we do not want the variation in these manual mapping decisions to influence our benchmark results.…”

Section: "Best-case" Correct Classification Ratementioning

confidence: 99%

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Developing a synthetic news corpus to validate generic frame detection methods

Chan,

Freudenthaler,

Müller

2024

SCM

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Frames are a central concept in communication research. Based on our literature review, we propose that frame identification is an act of identifying selected reality and communicative intention. We then highlight the conceptual and methodological issues of frame identification using computational methods. To avoid the correlation between topics and frames, we provide a synthetic dataset for evaluating frames found in multi-topical news content, using the detection of generic frames as a test case. With this dataset, for the first time, we benchmark manual coding and various automatic and semi-supervised methods. Based on the preliminary benchmark results, this study provides evidence that generic frame identification using both manual coding and automatic methods might not be accurate.

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Section: Generic Frame Detection As a Test Case And Ensuring Independ...mentioning

confidence: 99%

Section: "Best-case" Correct Classification Ratementioning

confidence: 99%

Developing a synthetic news corpus to validate generic frame detection methods

Chan,

Freudenthaler,

Müller

2024

SCM

View full text Add to dashboard Cite

show abstract

North Korean propaganda and counterpropaganda on YouTube

Kang

2024

JAPC

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Drawn from attribute agenda setting theory and propaganda theory, this study examined an attribute agenda structure of YouTube videos on North Korean propaganda and its relationship with social media network indicators. A topic modeling analysis with 2,538 video descriptions clustered bulk documents into four attribute agendas: proximity, prominence, conflicts, and common interest. Proximity related North Korean propaganda to its main stakeholders such as China. Prominence was concerned with the relationship between North Korea and business. Conflict showcased North Korea’s military power as a confronting mode against South Korea. Common interest covered daily attractions in North Korea, including music and tourism. A positive relationship between conflict and all network strength indicators implies that YouTube descriptions of North Korea are related to military confrontations, showing belligerence as a notable attribute. Four topics and their linkage with network ties suggest that, despite North Korea’s efforts to build a soft image via YouTube, influencers set conflicts as key agenda attributes.

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Watching the Whole World: The Media Framing of Foreign Countries in US News and its Antecedents

Cited by 2 publications

References 40 publications

Developing a synthetic news corpus to validate generic frame detection methods

Developing a synthetic news corpus to validate generic frame detection methods

North Korean propaganda and counterpropaganda on YouTube

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