Work

Possible selection bias limits the interpretation of single-cell transcriptomics data of steroid-resistant asthma exacerbation

Year: 2021

Type: letter

Abstract: YouTube’s algorithm is often accused of putting users in filter bubbles and generating rabbit holes of radicalization. However, evidence on these issues is inconclusive. We conduct a systematic audit of the platform using 100,000 sock puppets ... Algorithms of social media platforms are often criticized for recommending ideologically congenial and radical content to their users. Despite these concerns, evidence on such filter bubbles and rabbit holes of radicalization is inconclusive. We conduct ...

Source: Proceedings of the National Academy of Sciences

DOI: 10.1073/pnas.2102858118

Authors: Joytri Dutta, Rakhshinda Rehman, Shamsudheen K. Vellarikkal, Laura E. Fredenburgh, Ulaganathan Mabalirajan

Institutions: Indian Institute of Chemical Biology, Council of Scientific and Industrial Research, Academy of Scientific and Innovative Research, Brigham and Women's Hospital, Broad Institute, Harvard University

Language: English

Topic: Asthma and respiratory diseases

Subfield: Physiology

Field: Medicine

Domain: Health Sciences

Open Access status: green

Funder: Council of Scientific and Industrial Research, India

Award: G4146740719

OpenAlex ID: W3207388581

Cites: 10

Cited by: 2

Related to: 10