Trust in the system: an introduction to the #AoIR2019 special issue
被引:1
|
作者:
Luka, Mary Elizabeth
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机构:
Univ Toronto, Media UTSC, Dept Arts, Arts & Media Management,Culture, Toronto, ON, Canada
Univ Toronto, Fac Informat, Toronto, ON, CanadaUniv Toronto, Media UTSC, Dept Arts, Arts & Media Management,Culture, Toronto, ON, Canada
Luka, Mary Elizabeth
[1
,2
]
Hutchinson, Jonathon
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机构:
Univ Sydney, Fac Arts & Social Sci, Dept Media & Commun, Online Commun & Media, Sydney, NSW, AustraliaUniv Toronto, Media UTSC, Dept Arts, Arts & Media Management,Culture, Toronto, ON, Canada
Hutchinson, Jonathon
[3
]
机构:
[1] Univ Toronto, Media UTSC, Dept Arts, Arts & Media Management,Culture, Toronto, ON, Canada
[2] Univ Toronto, Fac Informat, Toronto, ON, Canada
[3] Univ Sydney, Fac Arts & Social Sci, Dept Media & Commun, Online Commun & Media, Sydney, NSW, Australia
Trust;
internet studies;
association of internet researchers;
data;
surveillance;
fake news;
D O I:
10.1080/1369118X.2020.1752279
中图分类号:
G2 [信息与知识传播];
学科分类号:
05 ;
0503 ;
摘要:
This special issue of Information, Communication and Society reflects on the generative work presented at the 2019 annual conference of the Association of Internet Researchers (#AoIR2019). The conference attracted approximately 380 people from 35 countries to work through the theme, Trust in the System. Delegates analysed developments on the internet, in social media and through data management, including those grounded in Indigenous perspectives and varied communities, resiliencies and collective voices. Plenary provocations prompted discussions about our various relationships with "trust", "system" and "the", while research sites included webtoons and webnovels, fans and games, chemsex and porn, the rise of digital assistants and evolving digital practices in politics, health, education, environment and the media. Creative industries, automation and platformization figured broadly. Ethics, methods and theory ranged from science and technology studies (STS) to queer and indigenous theory to algorithmic approaches, digital ethnography, creative methods, and emergent work in bot detection across social media. The resulting articles curated for this collection are offered by emerging to established scholars, from around the world.
机构:
Temple Univ, Klein Coll Media & Commun, Dept Media Studies & Prod, Philadelphia, PA USA
2020 N 13th St,Room 225, Philadelphia, PA 19122 USATemple Univ, Klein Coll Media & Commun, Dept Media Studies & Prod, Philadelphia, PA USA
Iliadis, Andrew
Siapera, Eugenia
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机构:
Univ Coll Dublin, Informat & Commun Studies, Dublin, Ireland
Univ Coll Dublin, ICS Sch, Dublin, IrelandTemple Univ, Klein Coll Media & Commun, Dept Media Studies & Prod, Philadelphia, PA USA
Siapera, Eugenia
Lokot, Tetyana
论文数: 0引用数: 0
h-index: 0
机构:
Dublin City Univ, Sch Commun, Digital Media & Soc, Dublin, IrelandTemple Univ, Klein Coll Media & Commun, Dept Media Studies & Prod, Philadelphia, PA USA