Journalistic transparency using CRFs to identify the reporter of newspaper articles in Spanish

Jurado, Francisco

doi:10.1016/j.asoc.2020.106496

Cited by 4 publications

(3 citation statements)

References 47 publications

(55 reference statements)

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“…There are studies that have analysed how the media have made information available to the public, either through editorial processes or though the journalistic actors involved (for example, media ownership, journalist profiles, blogs, and links to sources) ( forward as a key issue when addressing the lack of credibility some media companies -in Spain (Jurado, 2020) and other countries-are accused of having.…”

Section: Media and Digital Transparencymentioning

confidence: 99%

Digital transparency and political communication

Domínguez

Díez‐Garrido

2022

EPI

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The academic debate on transparency has experienced a boom in recent decades. A review of the scientific literature allows us to identify two key moments in the discussion on digital transparency: the declaration of Barack Obama’s Memorandum on transparency and open government in 2009 and the Cambridge Analytica scandal in 2018. The first was linked to a groundswell of enthusiasm for the concept of government transparency, with the promise that it would boost accountability, eliminate corruption, and promote political efficiency in a crisis of institutional legitimacy. The second altered the digital transparency agenda and catalysed a discussion about the need for technology and social media companies (Facebook, Twitter, or Google) to make transparency commitments because of their role in generating a public conversation and the democratic implications. This paper reviews the idea of digital transparency in the scientific literature framed in the field of political communication and tries to reflect the need for more research on its political, social, and cultural implications.

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Section: Media and Digital Transparencymentioning

confidence: 99%

Digital transparency and political communication

Domínguez

Díez‐Garrido

2022

EPI

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“…A journalist often writes news articles based on statements that resulted from an interview with a public figure. Thus, precise attribution will be critical for news organizations (Radford et al , 2015) and will promote journalism’s transparency (Jurado, 2020). This attribution can be extracted from news articles to build a knowledge base.…”

Section: Introductionmentioning

confidence: 99%

PFSA-ID: an annotated Indonesian corpus and baseline model of public figures statements attributions

W.P.

Kumar

Zulkarnain

2022

GKMC

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Purpose By far, the corpus for the quotation extraction and quotation attribution tasks in Indonesian is still limited in quantity and depth. This study aims to develop an Indonesian corpus of public figure statements attributions and a baseline model for attribution extraction, so it will contribute to fostering research in information extraction for the Indonesian language. Design/methodology/approach The methodology is divided into corpus development and extraction model development. During corpus development, data were collected and annotated. The development of the extraction model entails feature extraction, the definition of the model architecture, parameter selection and configuration, model training and evaluation, as well as model selection. Findings The Indonesian corpus of public figure statements attribution achieved 90.06% agreement level between the annotator and experts and could serve as a gold standard corpus. Furthermore, the baseline model predicted most labels and achieved 82.026% F-score. Originality/value To the best of the authors’ knowledge, the resulting corpus is the first corpus for attribution of public figures’ statements in the Indonesian language, which makes it a significant step for research on attribution extraction in the language. The resulting corpus and the baseline model can be used as a benchmark for further research. Other researchers could follow the methods presented in this paper to develop a new corpus and baseline model for other languages.

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“…Statements on what political figures have said or not said can be shown as the subject of substantial journalistic and political efforts. Journalists, particularly in the current age of rampant media manipulators and fake news outlets, must try to preserve their integrity to foster transparency in journalism (Jurado, 2020). Thus, accurate extraction and attribution are important to the news platform (Radford et al , 2015).…”

Section: Introductionmentioning

confidence: 99%

Understanding quotation extraction and attribution: towards automatic extraction of public figure’s statements for journalism in Indonesia

Purnomo

Kumar

Zulkarnain

2020

GKMC

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Purpose Extracting information from unstructured data becomes a challenging task for computational linguistics. Public figure’s statement attributed by journalists in a story is one type of information that can be processed into structured data. Therefore, having the knowledge base about this data will be very beneficial for further use, such as for opinion mining, claim detection and fact-checking. This study aims to understand statement extraction tasks and the models that have already been applied to formulate a framework for further study. Design/methodology/approach This paper presents a literature review from selected previous research that specifically addresses the topics of quotation extraction and quotation attribution. Research works that discuss corpus development related to quotation extraction and quotation attribution are also considered. The findings of the review will be used as a basis for proposing a framework to direct further research. Findings There are three findings in this study. Firstly, the extraction process still consists of two main tasks, namely, the extraction of quotations and the attribution of quotations. Secondly, most extraction algorithms rely on a rule-based algorithm or traditional machine learning. And last, the availability of corpus, which is limited in quantity and depth. Based on these findings, a statement extraction framework for Indonesian language corpus and model development is proposed. Originality/value The paper serves as a guideline to formulate a framework for statement extraction based on the findings from the literature study. The proposed framework includes a corpus development in the Indonesian language and a model for public figure statement extraction. Furthermore, this study could be used as a reference to produce a similar framework for other languages.

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Journalistic transparency using CRFs to identify the reporter of newspaper articles in Spanish

Cited by 4 publications

References 47 publications

Digital transparency and political communication

Digital transparency and political communication

PFSA-ID: an annotated Indonesian corpus and baseline model of public figures statements attributions

Understanding quotation extraction and attribution: towards automatic extraction of public figure’s statements for journalism in Indonesia

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