scholarly journals SOFIA: Social Filtering for Robust Recommendations

Author(s):  
Matteo Dell'Amico ◽  
Licia Capra
Keyword(s):  
2017 ◽  
Vol 71 (2) ◽  
pp. 482-494 ◽  
Author(s):  
Jessica T. Feezell

Conventional models of agenda setting hold that mainstream media influence the public agenda by leading audience attention, and perceived importance, to certain issues. However, increased selectivity and audience fragmentation in today’s digital media environment threaten the traditional agenda-setting power of the mass media. An important development to consider in light of this change is the growing use of social media for entertainment and information. This study investigates whether mainstream media can influence the public agenda when channeled through social media. By leveraging an original, longitudinal experiment, I test whether being exposed to political information through Facebook yields an agenda-setting effect by raising participants’ perceived importance of certain policy issues. Findings show that participants exposed to political information on Facebook exhibit increased levels of issue salience consistent with the issues shared compared with participants who were not shown political information; these effects are strongest among those with low political interest.


2019 ◽  
Vol 5 (3) ◽  
pp. 205630511987295 ◽  
Author(s):  
Chang Sup Park

Drawing upon Bandura’s self-efficacy theory, this study conceptualizes “social media news efficacy” and examines how news efficacy connects perceived news overload on social media to news avoidance and social filtering. Findings from a two-wave panel survey of South Korean adults show that news overload is significantly related to a decrease of news efficacy, which in turn increases news avoidance on social media. The analysis also finds that news efficacy mediates the positive link between perceived news overload and social filtering over time.


Author(s):  
Mingsong Mao ◽  
Jie Lu ◽  
Guangquan Zhang ◽  
Jinlong Zhang

2011 ◽  
Vol 11 (1) ◽  
pp. 121
Author(s):  
Tamás Bodoky ◽  
Ágnes Urbán
Keyword(s):  

A közösségi oldalak elterjedése, különösen a ma már több mint 700 millió regisztrált felhasználót jegyző Facebook jelentős hatással van a médiafogyasztási, azon belül a hírfogyasztási szokásokra. Az internetezők ma már nemcsak a portálokra látogatva értesülhetnek a legfrissebb hírekről, hanem egy közösségi oldal felületén is megtehetik ugyanezt, ahol személyes ismerőseik osztják meg az általuk érdekesnek tartott híreket. Nem más történik tehát, hogy a professzionális szerkesztés mellett megjelent a social filtering, vagyis a közösségi szűrő jelensége is. A cikk azt vizsgálja, hogy a közösségi média, ezen belül is a Facebook milyen hatással van a médiafogyasztási szokásokra, a hírportáloknak milyen szempontokat kell figyelembe venniük, amikor a közösségi stratégiájukat kialakítják. Állításainkat empirikusan is igazoljuk, az atlatszo.hu oldal látogatottsági adatait vizsgálva bemutatjuk, hogy egy újonnan indult oknyomozó portál miként tud közösséget és ezen keresztül közönséget építeni a Facebook segítségével.


2018 ◽  
Vol 20 (10) ◽  
pp. 3523-3539 ◽  
Author(s):  
Pablo J Boczkowski ◽  
Eugenia Mitchelstein ◽  
Mora Matassi

Incidental consumption of news on social media has risen in recent years, particularly among young people. Previous studies have characterized what the main dimensions and effects of this phenomenon are. In this article, we complement that literature by looking at how this phenomenon unfolds. Inspired by practice theory, we aim to answer two questions: (1) what are the practices that subtend incidental news consumption on social media among young people? and (2) What are the social consequences of these practices? We draw upon 50 in-depth interviews with respondents aged 18–29 years from Argentina. Our findings show the existence of (1) strong connections between technology and content, “anywhere and anytime” coordinates, derivative information routines, and increasingly mediated sociability and (2) fragmentary reading patterns, loss of hierarchy of the news, and coexistence of editorial, algorithmic, and social filtering. We conclude by elaborating on the empirical and theoretical implications of these findings.


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