Demo Data from SIGIR 2026 / reviewers in the wild / expert
Reham Mohamed 0001
dblp:224/9147 · also Reham Ebada Mohamed
· DBLP profile ↗
3ranked-venue papers
1as first author
0since 2021 · last 2020
—ORCID · none
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 1 first-authorSecurity and privacy · 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
2 papers |
Collaborative and social computing · 70% Usability and user experience research · 30% | |
| Network and information security
2 papers |
Malware analysis · 59% Privacy and data protection · 23% Usable security · 18% |
Topics — the 6 heaviest of 7, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Collaborative and social computing › interpersonal communication
impression formation |
0.4 | 1 | 2020 | The Influence of Decaying the Representation of Older Social Media Content on Simulated Hiring Decisions · CHI 2020 |
Collaborative and social computing › social media
social media privacy |
0.4 | 1 | 2020 | The Influence of Decaying the Representation of Older Social Media Content on Simulated Hiring Decisions · CHI 2020 |
Malware analysis
ransomware |
0.3 | 1 | 2018 | The aftermath of a crypto-ransomware attack at a large academic institution · USENIX Security Symposium 2018 |
Collaborative and social computing › computer-mediated communication › impression management
online self-presentation |
0.1 | 1 | 2020 | The Influence of Decaying the Representation of Older Social Media Content on Simulated Hiring Decisions · CHI 2020 |
Privacy and data protection › health data privacy
genomic privacy |
0.1 | 1 | 2020 | "I'm hoping they're an ethical company that won't do anything that I'll regret": Users Perceptions of At-home DNA Testing Companies · CHI 2020 |
Usable security › security operations
incident response |
0.1 | 1 | 2018 | The aftermath of a crypto-ransomware attack at a large academic institution · USENIX Security Symposium 2018 |
Methods — techniques the papers use, named apart from their topics
semi-structured interviews · 0.9qualitative analysis · 0.9between-subjects survey · 0.4
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2020 | "I'm hoping they're an ethical company that won't do anything that I'll regret": Users Perceptions of At-home DNA Testing CompaniesabstractAt-home DNA testing has become increasingly popular due to the ability to be able to gain both ancestry and health information, as well as connect with others who share your DNA. Do users have reasonable mental models of how these systems work? Do users have privacy concerns and what do they understand as the benefits and risks involved? We conducted 27 interviews with Canadian users of at-home DNA testing companies. Our interviews covered perceived and desired data use, data management, data sharing practices, control over data, and any regrets. Our qualitative analysis revealed that many users have inconsistencies in their mental models and liken their DNA data to their data stored with existing technologies, such as social media, rather than health data. They are generally either dismissive of privacy concerns towards themselves or their relatives or they had not considered privacy in their choice. We discuss our findings and propose possible future work in this area. Khadija Baig, Reham Mohamed 0001, Anna-Lena Theus, Sonia Chiasson |
CHI | 2 |
| 2020 | The Influence of Decaying the Representation of Older Social Media Content on Simulated Hiring DecisionsabstractDecaying representations gradually make social media content less visible to readers over time, which can help users disassociate from past online activities. We explore whether shrinking, one decaying representation, influences managers' assessments and simulated hiring decisions of job candidates, compared to seeing a full profile or an empty profile with no posts. Our 3 x 2 between-subjects crowdsourced survey (N = 360 US managers) shows that shrunk or empty profiles led to more positive decisions than profiles in their original full format. However, shrunk profiles also further contributed to more positive impressions of the candidates. Shrinking did not help the candidate of either gender more than the other and demographics of managers had limited impact on their assessment. Further, our managers regularly search job candidates' social media profiles in real life, suggesting that shrinking could support users' privacy. We finally present implications for individuals' privacy on social media. Reham Mohamed 0001, Paulina Chametka, Sonia Chiasson |
CHI | 1 |
| 2018 | The aftermath of a crypto-ransomware attack at a large academic institution
Leah Zhang-Kennedy, Hala Assal, Jessica Nicole Rocheleau, Reham Mohamed 0001, Khadija Baig, Sonia Chiasson |
USENIX Security Symposium | 4 |