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Apoorve Chokshi

dblp:139/8796 · DBLP profile ↗
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1ranked-venue papers
0as first author
0since 2021 · last 2015
—ORCID · unresolved

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
1 paper
Collaborative and social computing · 33% Usability and user experience research · 33% Human-AI interaction · 33%

Topics — the 3 heaviest of 3, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-AI interaction › algorithmic decision-making
algorithmic curation
0.212015
News Feed: What's in it for Me? · CHI 2015
Collaborative and social computing › social media
social network sites
0.212015
News Feed: What's in it for Me? · CHI 2015
Usability and user experience research
user perception
0.212015
News Feed: What's in it for Me? · CHI 2015

Methods — techniques the papers use, named apart from their topics

think-aloud interviews · 0.2qualitative study · 0.2
YearPublicationVenuePosition
2015 News Feed: What's in it for Me?
abstract
Over a billion people use social networking sites like Facebook to maintain awareness of their friends. Facebook's News Feed is the primary mechanism by which people are shown updates about their friends' daily activities on the site in the form of an algorithmically curated list of stories. This paper examines how people browse the News Feed, their perceptions and satisfaction while using it, and the interactions they make with their personal social network. We conducted a qualitative study involving think-aloud semi-structured interviews as the participants casually browsed their own feeds. We observed a wide variation in the use of the News Feed ranging from careful consideration of social conventions, judgment of people, and annoyance and frustration towards certain friends. Our findings suggest that people do not deliberately curate their own News Feed either due to lack of awareness or perceived social repercussions.
Paul Lapides, Apoorve Chokshi, Sheelagh Carpendale, Saul Greenberg
CHI2