Bubble Trouble: Strategies Against Filter Bubbles in Online Social Networks

Burbach, Laura; Halbach, Patrick; Ziefle, Martina; Valdez, André Calero

doi:10.1007/978-3-030-22219-2_33

Cited by 19 publications

(14 citation statements)

References 43 publications

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“…The spread of fake news, during the various elections, has also been studied on Twitter [15][16][17] and Facebook [11,18,19]. Studies on filter bubbles or echo chambers have contributed to understanding the phenomenon of fake news [20][21][22] or how malicious bots and algorithms have contributed to the "success" or proliferation of fake news [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

The Influence of Political Ideology on Fake News Belief: The Portuguese Case

Baptista

Correia²,

Gradim

et al. 2021

Publications

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The relationship between a subject’s ideological persuasion with the belief and spread of fake news is the object of our study. Departing from a left- vs. right-wing framework, a questionnaire sought to position subjects on this political-ideological spectrum and demanded them to evaluate five pro-left and pro-right fake and real news, totaling 20 informational products. The results show the belief and dissemination of (fake) news are related to the political ideology of the participants, with right-wing subjects exhibiting a greater tendency to accept fake news, regardless of whether it is pro-left or pro-right fake news. These findings contradict the confirmation bias and may suggest that a greater influence of factors such as age, the level of digital news literacy and psychological aspects in the judgment of fake news are at play. Older and less educated respondents indicated they believed and would disseminate fake news at greater rates. Regardless of the ideology they favor, the Portuguese attributed higher credibility to the sample’s real news, a fact that can be meaningful regarding the fight against disinformation in Portugal and elsewhere.

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Section: Introductionmentioning

confidence: 99%

The Influence of Political Ideology on Fake News Belief: The Portuguese Case

Baptista

Correia²,

Gradim

et al. 2021

Publications

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“…Even for those with an adequate grasp of how algorithmic information systems operate, it is difficult to actually exert control over the systems they engage with (e.g. Klawitter and Hargittai, 2018; Burbach et al , 2019). In this section, we are concerned with the conscious decisions people make – and the projections these involve – in order to influence their own or others' information encounters in algorithmic systems.…”

Section: Performative Imaginariesmentioning

confidence: 99%

Information literacy as a site for anticipation: temporal tactics for infrastructural meaning-making and algo-rhythm awareness

Haider

Sundin

2021

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PurposeThe article makes an empirical and conceptual contribution to understanding the temporalities of information literacies. The paper aims to identify different ways in which anticipation of certain outcomes shapes strategies and tactics for engagement with algorithmic information intermediaries. The paper suggests that, given the dominance of predictive algorithms in society, information literacies need to be understood as sites of anticipation.Design/methodology/approachThe article explores the ways in which the invisible algorithms of information intermediaries are conceptualised, made sense of and challenged by young people in their everyday lives. This is couched in a conceptual discussion of the role of anticipation in understanding expressions of information literacies in algorithmic cultures. The empirical material drawn on consists of semi-structured, pair interviews with 61 17–19 year olds, carried out in Sweden and Denmark. The analysis is carried out by means of a qualitative thematic analysis in three steps and along two sensitising concepts – agency and temporality.FindingsThe results are presented through three themes, anticipating personalisation, divergences and interventions. These highlight how articulating an anticipatory stance works towards connecting individual responsibilities, collective responsibilities and corporate interests and thus potentially facilitating an understanding of information as co-constituted by the socio-material conditions that enable it. This has clear implications for the framing of information literacies in relation to algorithmic systems.Originality/valueThe notion of algo-rhythm awareness constitutes a novel contribution to the field. By centring the role of anticipation in the emergence of information literacies, the article advances understanding of the temporalities of information.

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“…Owing to the irreversible and striking impact that the internet has brought on the mass communication, echo chamber and filter bubble are appearing in online media and social networking sites, such as MovieLens [33], Pandora [1], YouTube [23], Facebook [37], and Instagram [39]. Significant research efforts have been put forward in examining the two phenomena in online media and social networks [4,6,7,14,20,30]. Recently, researchers have concluded that the decisions made by RS can influence user beliefs and preferences, which in turn affect the user feedback, e.g., the behavior of click and purchase received by the learning system, and this kind of user feedback loop might lead to echo chamber and filter bubbles [26].…”

Section: Introductionmentioning

confidence: 99%

Understanding Echo Chambers in E-commerce Recommender Systems

Zhao

Zhou

et al. 2020

Proceedings of the 43rd International ACM SIGIR Conference on Research and Development in Information Retrieval

108

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Personalized recommendation benefits users in accessing contents of interests effectively. Current research on recommender systems mostly focuses on matching users with proper items based on user interests. However, significant efforts are missing to understand how the recommendations influence user preferences and behaviors, e.g., if and how recommendations result in echo chambers. Extensive efforts have been made in examining the phenomenon in online media and social network systems. Meanwhile, there are growing concerns that recommender systems might lead to the self-reinforcing of user's interests due to narrowed exposure of items, which may be the potential cause of echo chamber. In this paper, we aim to analyze the echo chamber phenomenon in Alibaba Taobao-one of the largest e-commerce platforms in the world. Echo chamber means the effect of user interests being reinforced through repeated exposure to similar contents. Based on the definition, we examine the presence of echo chamber in two steps. First, we explore whether user interests have been reinforced. Second, we check whether the reinforcement results from the exposure of similar contents. Our evaluations are enhanced with robust metrics, including cluster validity and statistical significance. Experiments are performed on extensive collections of real-world data consisting of user clicks, purchases, and browse logs from Alibaba Taobao. Evidence suggests the tendency of echo chamber in user click behaviors, while it is relatively mitigated in user purchase behaviors. Insights from the results guide the refinement of recommendation algorithms in real-world e-commerce systems. CCS CONCEPTS • Information systems → Recommender systems; Web log analysis; Test collections. * Co-first authors with equal contributions. † This work was done when Yingqiang Ge worked as an intern in Alibaba.

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Bubble Trouble: Strategies Against Filter Bubbles in Online Social Networks

Cited by 19 publications

References 43 publications

The Influence of Political Ideology on Fake News Belief: The Portuguese Case

The Influence of Political Ideology on Fake News Belief: The Portuguese Case

Information literacy as a site for anticipation: temporal tactics for infrastructural meaning-making and algo-rhythm awareness

Understanding Echo Chambers in E-commerce Recommender Systems

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