Demo Data from SIGIR 2026 / reviewers in the wild / expert
William C. Smith
dblp:76/9307
· DBLP profile ↗
1ranked-venue papers
0as first author
0since 2021 · last 2011
—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 · 100% | |
| Network and information security
1 paper |
Usable security · 100% |
Topics — the 3 heaviest of 3, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Collaborative and social computing › interpersonal communication
self-disclosure |
0.1 | 1 | 2011 | A tale of two languages: strategic self-disclosure via language selection on facebook · CSCW 2011 |
Collaborative and social computing › social media
social network sites |
0.1 | 1 | 2011 | A tale of two languages: strategic self-disclosure via language selection on facebook · CSCW 2011 |
Usable security
privacy control |
0.0 | 1 | 2011 | A tale of two languages: strategic self-disclosure via language selection on facebook · CSCW 2011 |
Methods — techniques the papers use, named apart from their topics
quantitative analysis · 0.2
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2011 | A tale of two languages: strategic self-disclosure via language selection on facebookabstractIn this paper, we analyze the way in which international Facebook users who had recently moved to the United States used different languages to selectively self-disclose to their old (native-language) and new (English-speaking) social circles. We found significantly more intimate self-disclosure, covering a broader range of cognitive and emotional topics, in native-language status updates compared to updates in English. Self-disclosure was also more positive in English. These patterns support our hypotheses that users exploit language barriers to serve different self-presentational goals for different social circles and generate implications for SNS privacy control. Dai Tang, Tina Chou, Naomi Drucker, Adi Robertson, William C. Smith, Jeffrey T. Hancock |
CSCW | 5 |