Facebook

By Aaron M. Fewkes, M. Mccabe. 2012

2,206 citations recorded by the source corpus.

Subfields: Communication, Information Systems, Sociology and Political Science

View Paper: https://www.semanticscholar.org/paper/1b10a8a53517a2a08b3a27f3b575460739cfab1d

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Citations in the corpus

Large Language Models: A Survey (2024, positive): “Faiss [240] is a library developed by Facebook AI Research that provides efficient similarity search and clustering of dense vectors.”
DeepHate: Hate Speech Detection via Multi-Faceted Text Representations (2020, background): “For instance, the platforms have provided clear policies on hateful conducts [13, 40], implemented mechanisms for users to report hate speech, and employed content moderators to detect hate speeches actively.”
Computing Personalized PageRank Quickly by Exploiting Graph Structures (2014, background): “Facebook [20] also consists of over 800 million active users, with hundreds of billions of friend links.”
Facebook and privacy: it's complicated (2012, background): “This is much larger than the statistic Facebook reports: the average user has 130 friends [8].”
Understanding User Beliefs About Algorithmic Curation in the Facebook News Feed (2015, background): “Facebook is the largest social network site (SNS) in the world with over 1.28 billion monthly active users [9] and over 71% of American adults using the site [1].”
Layer-Centric Memory Reuse and Data Migration for Extreme-Scale Deep Learning on Many-Core Architectures (2018, methodology): “Consequently, as far as we know, very few training systems (e.g., TensorFlow [1]) explicitly support model-parallelism, and most other systems (e.g., Caffe [22], Caffe2 [12], MXNet [4], Theano [2], CNTK [35], DyNet [29], et al.) cannot directly implement model-parallelism.”
Too Many Facebook “Friends”? Content Sharing and Sociability Versus the Need for Privacy in Social Network Sites (2010, background): “New reports indicate that members of SNSs add more and more people to their friend lists (Brandtzæg & Lüders, 2009; Brandtzæg et al., 2010; Facebook, 2010).”
SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning (2017, positive): “We implement SQLNet using PyTorch (Facebook, 2017).”
The effects of personality traits, self-esteem, loneliness, and narcissism on Facebook use among university students (2012, background): “Given the interest in using new media and social networking to informally support learning (Fewkes & McCabe, 2012) or even manage learning (Wang, Lit Woo, Lang Quek, Yang, & Liu, 2012) future research should consider whether Facebook promotes social engagement in a manner that might increase…”
Potential for Discrimination in Online Targeted Advertising (2018, methodology): “…user’s ethnicity, but rather represents how interested the user is in content related to different ethnic communities, Facebook agreed to not allow ads related to housing, employment, and ﬁnancial services be targeted using the attribute (Facebook, 2017) and renamed it to “mul-ticultural aﬃnity.””
A measurement study of google play (2014, background): “In contrast, as shown on the Facebook developer page [21], Facebook stresses the importance of never storing OAuth secret tokens in client applications: Note that [this OAuth request] must never be made in client-side code or in an app binary that could be decom-piled.”
Touching from a distance: website fingerprinting attacks and defenses (2012, methodology): “Page 1 To evaluate the performance of our web site classiﬁer, we created models for two web sites censored by the Chinese “Great Firewall” – Facebook [7] and IMDB [5] – and constructed page classiﬁers using the Alexa Top 99 pages, along with the pages in our model for each site.”
Personalizing LinkedIn Feed (2015, background): “Hence major social networking sites including Facebook and LinkedIn provide users the personalized News feed as the main portal [1].”
A Tale of Four Platforms: Motivations and Uses of Facebook, Twitter, Instagram, and Snapchat Among College Students? (2017, background): “Per the company’s website, “Facebook’s mission is to give people the power to share and make the world more open and connected” (Facebook, 2016).”