Search Results for author:
Found 13 papers, 5 papers with code
AToMiC: An Image/Text Retrieval Test Collection to Support Multimedia Content Creation
This paper presents the AToMiC (Authoring Tools for Multimedia Content) dataset, designed to advance research in image/text cross-modal retrieval.
Wiki-Reliability: A Large Scale Dataset for Content Reliability on Wikipedia
Templates are tags used by expert Wikipedia editors to indicate content issues, such as the presence of "non-neutral point of view" or "contradictory articles", and serve as a strong signal for detecting reliability issues in a revision.
Proceedings of the KG-BIAS Workshop 2020 at AKBC 2020
The KG-BIAS 2020 workshop touches on biases and how they surface in knowledge graphs (KGs), biases in the source data that is used to create KGs, methods for measuring or remediating bias in KGs, but also identifying other biases such as how and which languages are represented in automatically constructed KGs or how personal KGs might incur inherent biases.
Quantifying Engagement with Citations on Wikipedia
Wikipedia, the free online encyclopedia that anyone can edit, is one of the most visited sites on the Web and a common source of information for many users.
Computers and Society
Citation Needed: A Taxonomy and Algorithmic Assessment of Wikipedia's Verifiability
In this paper, we aim to provide an empirical characterization of the reasons why and how Wikipedia cites external sources to comply with its own verifiability guidelines.
Beautiful and damned. Combined effect of content quality and social ties on user engagement
Exposure to beauty is double-edged: following people who produce high-quality content increases one's probability of uploading better photos; however, an excessive imbalance between the quality generated by a user and the user's neighbors leads to a decline in engagement.
To Click or Not To Click: Automatic Selection of Beautiful Thumbnails from Videos
Our system selects attractive thumbnails by analyzing various visual quality and aesthetic metrics of video frames, and performs a clustering analysis to determine the relevance to video content, thus making the resulting thumbnails more representative of the video.
Multimedia
Multilingual Visual Sentiment Concept Matching
The impact of culture in visual emotion perception has recently captured the attention of multimedia research.
Visual Affect Around the World: A Large-scale Multilingual Visual Sentiment Ontology
Our work expressly focuses on the uniqueness of culture and language in relation to human affect, specifically sentiment and emotion semantics, and how they manifest in social multimedia.
Like Partying? Your Face Says It All. Predicting the Ambiance of Places with Profile Pictures
To choose restaurants and coffee shops, people are increasingly relying on social-networking sites.
An Image is Worth More than a Thousand Favorites: Surfacing the Hidden Beauty of Flickr Pictures
We propose to use a computer vision method to surface beautiful pictures from the immense pool of near-zero-popularity items, and we test it on a large dataset of creative-commons photos on Flickr.
The Beauty of Capturing Faces: Rating the Quality of Digital Portraits
Digital portrait photographs are everywhere, and while the number of face pictures keeps growing, not much work has been done to on automatic portrait beauty assessment.
6 Seconds of Sound and Vision: Creativity in Micro-Videos
The notion of creativity, as opposed to related concepts such as beauty or interestingness, has not been studied from the perspective of automatic analysis of multimedia content.
