Social data: Biases, methodological pitfalls, and ethical boundaries
Social data in digital form—including user-generated content, expressed or implicit relations
between people, and behavioral traces—are at the core of popular applications and …
between people, and behavioral traces—are at the core of popular applications and …
What demographic attributes do our digital footprints reveal? A systematic review
J Hinds, AN Joinson - PloS one, 2018 - journals.plos.org
To what extent does our online activity reveal who we are? Recent research has
demonstrated that the digital traces left by individuals as they browse and interact with …
demonstrated that the digital traces left by individuals as they browse and interact with …
Beyond binary labels: political ideology prediction of twitter users
D Preoţiuc-Pietro, Y Liu, D Hopkins… - Proceedings of the 55th …, 2017 - aclanthology.org
Automatic political orientation prediction from social media posts has to date proven
successful only in distinguishing between publicly declared liberals and conservatives in the …
successful only in distinguishing between publicly declared liberals and conservatives in the …
Toward gender-inclusive coreference resolution
YT Cao, H Daumé III - arXiv preprint arXiv:1910.13913, 2019 - arxiv.org
Correctly resolving textual mentions of people fundamentally entails making inferences
about those people. Such inferences raise the risk of systemic biases in coreference …
about those people. Such inferences raise the risk of systemic biases in coreference …
Through a gender lens: Learning usage patterns of emojis from large-scale android users
Based on a large data set of emoji using behavior collected from smartphone users over the
world, this paper investigates gender-specific usage of emojis. We present various …
world, this paper investigates gender-specific usage of emojis. We present various …
Personalized dialogue generation with diversified traits
Endowing a dialogue system with particular personality traits is essential to deliver more
human-like conversations. However, due to the challenge of embodying personality via …
human-like conversations. However, due to the challenge of embodying personality via …
Toward gender-inclusive coreference resolution: An analysis of gender and bias throughout the machine learning lifecycle
YT Cao, H Daumé III - Computational Linguistics, 2021 - aclanthology.org
Correctly resolving textual mentions of people fundamentally entails making inferences
about those people. Such inferences raise the risk of systematic biases in coreference …
about those people. Such inferences raise the risk of systematic biases in coreference …
Conversational recommender systems techniques, tools, acceptance, and adoption: a state of the art review
Conversational recommender systems (CRS) have become popular in recent years and
have gained the attention of researchers. More emphasis is given to user choices and …
have gained the attention of researchers. More emphasis is given to user choices and …
User-level race and ethnicity predictors from twitter text
D Preoţiuc-Pietro, L Ungar - Proceedings of the 27th international …, 2018 - aclanthology.org
User demographic inference from social media text has the potential to improve a range of
downstream applications, including real-time passive polling or quantifying demographic …
downstream applications, including real-time passive polling or quantifying demographic …
Chbias: Bias evaluation and mitigation of chinese conversational language models
\textit {\textbf {\textcolor {red}{Warning}:} This paper contains content that may be offensive or
upsetting.} Pretrained conversational agents have been exposed to safety issues, exhibiting …
upsetting.} Pretrained conversational agents have been exposed to safety issues, exhibiting …