Cookies Policy
The website need some cookies and similar means to function. If you permit us, we will use those means to collect data on your visits for aggregated statistics to improve our service. Find out More
Accept Reject
  • Menu
Publications

Publications by HumanISE

2018

Bio-Measurements Estimation and Support in Knee Recovery through Machine Learning

Authors
Bernardino, J; Teixeira, LF; Ferreira, HS;

Publication
CoRR

Abstract

2018

Proceedings of the First Workshop on Narrative Extraction From Text (Text2Story 2018) co-located with 40th European Conference on Information Retrieval (ECIR 2018), Grenoble, France, March 26, 2018

Authors
Jorge, AM; Campos, R; Jatowt, A; Nunes, S;

Publication
Text2Story@ECIR

Abstract

2018

First International Workshop on Narrative Extraction from Texts: Text2Story 2018

Authors
Jorge, AM; Campos, R; Jatowt, A; Nunes, S;

Publication
ADVANCES IN INFORMATION RETRIEVAL (ECIR 2018)

Abstract

2018

Preface

Authors
Jorge, AM; Campos, R; Jatowt, A; Nunes, S;

Publication
CEUR Workshop Proceedings

Abstract

2018

Social Media and Information Consumption Diversity

Authors
Devezas, JL; Nunes, S;

Publication
Proceedings of the Second International Workshop on Recent Trends in News Information Retrieval co-located with 40th European Conference on Information Retrieval (ECIR 2018), Grenoble, France, March 26, 2018.

Abstract
Social media platforms are having a profound impact on the so-called information ecosystem, specifically on how information is produced, distributed and consumed. Social media in particular has contributed to the rise of user generated content and consequently to a greater diversity in online content. On the other hand, social media networks, such as Twitter or Facebook, have become information management tools that allow users to setup and configure information sources to their particular interests. A Twitter user can handpick the sources he wishes to follow, thus creating a custom information channel. However, this opportunity to create personalized information channels effectively results in different consumption profiles? Is the information consumed by users through social media networks distinct from the information consumed though traditional mainstream media? In this work, we set out to investigate this question using Twitter as a case study. We prepare two samples of users, one based on a uniform random selection of user IDs, and another one based on a selection of mainstream media followers. We analyze the home timelines of the users in each sample, focusing on characterizing information consumption habits. We find that information consumption volume is higher, while diversity is consistently lower, for mainstream media followers when compared to random users. When analyzing daily behavior, however, the samples slightly approximate, while clearly maintaining a lower diversity for mainstream media followers and a higher diversity for random users. Copyright © 2018 for the individual papers by the papers’ authors.

2018

ECIR 2018: Text2Story Workshop - Narrative Extraction from Texts

Authors
Jorge, A; Campos, R; Jatowt, A; Nunes, S; Rocha, C; Cordeiro, JP; Pasquali, A; Mangaravite, V;

Publication
SIGIR Forum

Abstract

  • 231
  • 589