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Found 10 papers, 2 papers with code
The Evolution of Substance Use Coverage in the Philadelphia Inquirer
The media's representation of illicit substance use can lead to harmful stereotypes and stigmatization for individuals struggling with addiction, ultimately influencing public perception, policy, and public health outcomes.
Spotify at TREC 2020: Genre-Aware Abstractive Podcast Summarization
This paper contains the description of our submissions to the summarization task of the Podcast Track in TREC (the Text REtrieval Conference) 2020.
Detecting Extraneous Content in Podcasts
Podcast episodes often contain material extraneous to the main content, such as advertisements, interleaved within the audio and the written descriptions.
100,000 Podcasts: A Spoken English Document Corpus
Paired with the audio files, they are also a resource for speech processing and the study of paralinguistic, sociolinguistic, and acoustic aspects of the domain.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
An Empirical Methodology for Detecting and Prioritizing Needs during Crisis Events
However, the sparsity of the information as well as the amount of noisy content present a challenge to practitioners to effectively identify shared information on these platforms.
Multilevel Structural Evaluation of Signed Directed Social Networks based on Balance Theory
We expand this modeling approach to incorporate directionality of edges, and consider three levels of analysis: triads, subgroups, and the whole network.
Social and Information Networks Optimization and Control Physics and Society 05C22, 90C90, 90C09, 90C10, 90C35, 05C15, 65K05
Beyond Citations: Corpus-based Methods for Detecting the Impact of Research Outcomes on Society
This paper proposes, implements and evaluates a novel, corpus-based approach for identifying categories indicative of the impact of research via a deductive (top-down, from theory to data) and an inductive (bottom-up, from data to theory) approach.
Enhancing the Measurement of Social Effects by Capturing Morality
We investigate the relationship between basic principles of human morality and the expression of opinions in user-generated text data.
Using Linguistic Cues for Analyzing Social Movements
With the growth of social media usage, social activists try to leverage this platform to raise the awareness related to a social issue and engage the public worldwide.
Telling Apart Tweets Associated with Controversial versus Non-Controversial Topics
Using a combination of emphatic, language-specific, and Twitter-specific features for supervised learning resulted in 87{\%} accuracy (F1) for cross-validation of the training set and 63. 4{\%} accuracy when using the test set.
