The dark side of technology: An experimental investigation of the influence of customizability technology on online political selective exposure

Dylko, Ivan B.; Dolgov, Igor; Hoffman, William D.; Eckhart, Nicholas; Molina, María de Miguel; Aaziz, Omar

doi:10.1016/j.chb.2017.03.031

Cited by 101 publications

(70 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…As the phenomenon of algorithmic news recommendation is still recent and constantly in development, there are few empirical studies on potentially lacking diversity of news recommendation systems in the field of social science (for an overview, see Dylko et al, 2017). The first set of studies (Dylko et al, 2017;Beam, 2014;O'Callaghan et al, 2015;Bakshy et al, 2015) have coherently provided evidence that unobtrusive and automatic selection of content can reduce exposure diversity in the context of news. However, whether that is the case or not depends on the exact settings of the algorithmic recommendation system and the data that is used to determine the recommendations as research in the field of informatics and data science has demonstrated.…”

Section: Dissecting Diversitymentioning

confidence: 99%

Do not blame it on the algorithm: an empirical assessment of multiple recommender systems and their impact on content diversity

Moeller

Trilling

Helberger

et al. 2018

Information, Communication & Society

256

143

View full text Add to dashboard Cite

In the debate about filter bubbles caused by algorithmic news recommendation, the conceptualization of the two core concepts in this debate, diversity and algorithms, has received little attention in social scientific research. This paper examines the effect of multiple recommender systems on different diversity dimensions. To this end, it maps different values that diversity can serve, and a respective set of criteria that characterizes a diverse information offer in this particular conception of diversity. We make use of a data set of simulated article recommendations based on actual content of one of the major Dutch broadsheet newspapers and its users (N=21,973 articles, N=500 users). We find that all of the recommendation logics under study proved to lead to a rather diverse set of recommendations that are on par with human editors and that basing recommendations on user histories can substantially increase topic diversity within a recommendation set.

show abstract

Section: Dissecting Diversitymentioning

confidence: 99%

Do not blame it on the algorithm: an empirical assessment of multiple recommender systems and their impact on content diversity

Moeller

Trilling

Helberger

et al. 2018

Information, Communication & Society

256

143

View full text Add to dashboard Cite

show abstract

“…Social media platforms are dependent on these algorithmic systems, and they have been said to act as polarizing tools that promote exposure to pro-attitudinal contents, and easy contact, with digital like-minded networks (Dylko et al, 2017). In other words, experts maintain that new media threaten to create homogenous digital echo chambers.…”

Section: Algorithms and Dataveillance: An Onlife Meaning-making Mechamentioning

confidence: 99%

Onlife Extremism: Dynamic Integration of Digital and Physical Spaces in Radicalization

2020

View full text Add to dashboard Cite

This article argues that one should consider online and offline radicalization in an integrated way. Occasionally, the design of some countermeasure initiatives treats the internet and the "real" world as two separate and independent realms. New information communication technologies (ICTs) allow extremists to fuse digital and physical settings. As a result, our research contends that radicalization takes place in onlife spaces: hybrid environments that incorporate elements from individuals' online and offline experiences. This study substantiates this claim, and it examines how algorithms structure information on social media by tracking users' online and offline activities. Then, it analyzes how the Islamic State promoted onlife radicalization. We focus on how the Islamic State used Telegram, specific media techniques, and videos to connect the Web to the territories it controlled in Syria. Ultimately, the article contributes to the recalibration of the current debate on the relationship between online and offline radicalization on a theoretical level and suggests, on a practical level, potential counter measures.

show abstract

“…At present, when the book publishing era is gradually depressed, through the organic combination of virtual reality (VR) technology and books in the digital publishing era, the traditional content and value-added services can be fully integrated, and it also gives traditional publishing a new Development path. Through the birth of this technology, readers and users do not need to borrow a book in person, only need to bring a display device to wander in the ocean of books [11,12]. However, in this state of symbiosis of reality and virtuality, in addition to releasing digital products and exquisite, smooth, and good experience for readers (users), we should also think deeply about how to effectively use virtual reality (VR) technology in the era of digital publishing.…”

Section: Introductionmentioning

confidence: 99%

Retracted: The Influence of Digital Virtual Technology on Contemporary College Students’ Ideological and Political Education

Song

Qiu

2024

IEEE Access

View full text Add to dashboard Cite

With the continuous development of society, the impact of virtual technology on society is also increasing. Digital virtual technology continues to advance social life, and digital virtual technology gradually penetrates into the ideological and political education of college students. This article aims to explore the positive and negative effects of digital virtual technology on the ideological and political education of contemporary college students. Through comparative research, this article explores the use of existing media content, network content and digital virtual technology based on virtual reality to help college students understand ideological and political education in colleges. In order to confirm the learning effect in the comparison process, quasi-experimental design was studied, and an AR-based deep learning education enhancement algorithm analyzed and judged the opinions of students based on the use of AR technology, learning strategy learning and online learning support, and AR-based technology And how the learning content of online learning affects students' learning motivation and performance, analyze and predict the application of AR technology in teaching. Experiments show that the ideological and political courses based on AR digital virtual technology combined with deep learning ideological and political course education analysis technology proposed in this paper can significantly and effectively improve the learning progress of contemporary college students' ideological and political education. Through comparative experiments, it is found that traditional education and learning methods promote the quality education of college students by 11.58% and 12.96% respectively.

show abstract

The dark side of technology: An experimental investigation of the influence of customizability technology on online political selective exposure

Cited by 101 publications

References 29 publications

Do not blame it on the algorithm: an empirical assessment of multiple recommender systems and their impact on content diversity

Do not blame it on the algorithm: an empirical assessment of multiple recommender systems and their impact on content diversity

Onlife Extremism: Dynamic Integration of Digital and Physical Spaces in Radicalization

Retracted: The Influence of Digital Virtual Technology on Contemporary College Students’ Ideological and Political Education

Contact Info

Product

Resources

About