Story‐focused reading in online news and its potential for user engagement

Lehmann, Janette; Castillo, Carlos; Lalmas, Mounia; Baeza-Yates, Ricardo

doi:10.1002/asi.23707

Cited by 20 publications

(10 citation statements)

References 42 publications

(82 reference statements)

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“…Furthermore, Yahoo users may be a biased sample of the population of Internet users, and this may correspond to a bias in our sample of traffic. Other studies have used similar data sets when analyzing web browsing patterns (Lehmann, Castillo, Lalmas, & Baeza‐Yates, ; West, weber, & Castillo, ). Nevertheless, as with any observational study of web users, the results should be reproduced in different populations.…”

Section: Data Setmentioning

confidence: 99%

Quantifying Biases in Online Information Exposure

Nikolov

Lalmas

Flammini

et al. 2018

Asso for Info Science & Tech

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Our consumption of online information is mediated by filtering, ranking, and recommendation algorithms that introduce unintentional biases as they attempt to deliver relevant and engaging content. It has been suggested that our reliance on online technologies such as search engines and social media may limit exposure to diverse points of view and make us vulnerable to manipulation by disinformation. In this article, we mine a massive data set of web traffic to quantify two kinds of bias: (i) homogeneity bias, which is the tendency to consume content from a narrow set of information sources, and (ii) popularity bias, which is the selective exposure to content from top sites. Our analysis reveals different bias levels across several widely used web platforms. Search exposes users to a diverse set of sources, while social media traffic tends to exhibit high popularity and homogeneity bias. When we focus our analysis on traffic to news sites, we find higher levels of popularity bias, with smaller differences across applications. Overall, our results quantify the extent to which our choices of online systems confine us inside “social bubbles.”

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Section: Data Setmentioning

confidence: 99%

Quantifying Biases in Online Information Exposure

Nikolov

Lalmas

Flammini

et al. 2018

Asso for Info Science & Tech

Self Cite

View full text Add to dashboard Cite

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“…It is not for nothing that the use of archaisms without sufficient motivation is considered to be a stylistic flaw, and sometimes a gross stylistic error incompatible with the linguistic and ecological parameters of communication. If we consider clarity to be the main feature of good speech (Lehmann et al, 2017), then archaisms, especially from the category of "completely dilapidated", do not contribute to the realization of this quality in any way. Meanwhile, media texts (Harcup, O'Neill, 2017;Lehmann et al, 2017) prove that the use of archaisms is a favourite stylistic technique of leading media authors, well-known publicists, film and theatre critics (Golan et al, 2019).…”

Section: Discussionmentioning

confidence: 97%

“Russian Language Extension” in Media Discourse and Principles of Linguoecology

2022

Media Education (Mediaobrazovanie)

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Solzhenitsyn's formulation used in the title of the archaic lexis dictionary (Dictionary of the Russian Language Extension) contained the idea: "Archaisms very often do not deserve "premature death" and should be used in order to protect the Russian language from the harmful average standard". Solzhenitsyn's idea is believed not to be developed and followed. Meanwhile, the analysis of modern media shows that the best texts invariably include units not from central common lexis. Nowadays archaization and dearchaization of lexis are natural and active language processes. A characteristic feature of the Russian language development at the turn of the XX-XXI centuries is fairly considered to be the archaization of lexis that is objectively "chronologically stable". The article is devoted to the analysis of functions of archaic lexis in the media discourse from the point of view of modern linguistic ecology ideas. Archaisms are necessary for the modern language to nuance the thought, they are necessary as an opportunity to create a pathos media text, as a tropeic means with the widest range. Based on the modern media text the authors used communicative and pragmatic analysis study the role of archaic lexis in the creation of figurativeness and expressiveness.

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“…The public style taste caused by the democratization of all the aspects of life determines an unprecedented balance of different speech layers in the media language (Baek et al, 2019;Boulianne, 2019;Lehmann et al, 2017;Scharkow, Bachl, 2017). The predominance of speech elements from the downgraded language registers in media has long been recorded by researchers (Kudinova, 2011;Redkozubova, 2014 and many others).…”

Section: Discussionmentioning

confidence: 99%

Humilation in Media: Linguolegal Parameters

2021

Media Education (Mediaobrazovanie)

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Modern media discourse is largely focused on downgraded speech registers, manifested in jargon, increased negative emotionality and conflictogenicity of used language means. The article suggests combining the most significant destructions with one concept of "humilation". Even in classical rhetoric it was understood an unreasonable therefore erroneous downgrading in style. Many manifestations of humilation are typical for media discourse. The article on the material of current media texts of 2021 discusses the humilation types connected with the choice of some language units, as well as with the use of destructive speech strategies not corresponding to ethical and speech and linguolegal standards. Humilation manifested in the very choice of the topic, the object of discussion and speech strategies, is analyzed on news stories about the "Skopinsky maniac" return. The main ways to counteract the abuse of speech freedom and the right to information are to increase the level of public legal awareness, consciously improve the mechanisms of self-regulation in the media. The methodological basis of the study of humilation in media is the multidimensional representation of the language system and its subsystems. The authors used the method of semantic and modal explication of speech acts with cumulative elements, the linguopragmatic and linguolegal analysis method, the contextual interpretation method.

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Story‐focused reading in online news and its potential for user engagement

Cited by 20 publications

References 42 publications

Quantifying Biases in Online Information Exposure

Quantifying Biases in Online Information Exposure

“Russian Language Extension” in Media Discourse and Principles of Linguoecology

Humilation in Media: Linguolegal Parameters

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