StopPropagHate

About Project

Automatic hate speech detection in online news media

StopPropagHate uses artificial intelligence to help detect and reduce hate speech in online news media. It’s important for news organisations to instigate online discussion, but dealing with the immediacy of user feedback is not an easy task – especially when discussion turns offensive. Using StopPropagHate’s API supported by machine learning techniques, news organisations can automatically identify hate speech within comments, but also predict the likelihood of a news piece to generate such comments in the first place.

Acronym

StopPropagHate

Responsible

Sérgio Sobral Nunes

Status

Closed

Start

January 6, 2018

End

January 30, 2019

Effective End

January 30, 2019

Global Budget

€49,804.00

Financing

€49,804.00

Members

Team Leaders

Sérgio Nunes is an Associate Professor at the Department of Informatics Engineering at FEUP, University of Porto, and a Senior Researcher at INESC TEC. He holds a PhD in Information Retrieval (2010) focused on using temporal features for relevance estimation, and a MSc in Information Management (2004).

His main research interests are in information retrieval and web information systems. He teaches databases, web technologies and information retrieval in different programs, namely the Informatics Engineering Doctoral Program, the Informatics Engineering Bachelor and Masters, and the Multimedia Masters.

Was the Director of the U.Porto Media Innovation Labs (MIL), an Excellence Center of the University of Porto, with the mission of developing the university's capacity in the field of Media in teaching, research and innovation activities by promoting collaborations between existing university structures and articulation with external partners.

Team Members

Sérgio Sobral Nunes

Disseminations

INESC TEC has a unique and differentiating management model, improved over its 35 years of history. Reflecting its unique position between academia and industry, the management at INESC TEC carefully balances, in a hybrid model, the academic culture of scientific freedom and dialogue with a culture of efficiency and responsibility in management.

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Associated Centres

Human-Centered Computing and Information Science

The Centre for Human-Centered Computing and Information Science (HumanISE) brings together engineers, scientists, and designers with expertise in Human-Centred Computing (HCC), Computer Science (CS), and Information Science (IS). Interdisciplinarity, one of the Centre’s defining features, fosters the development of software systems, methods, and tools designed to empower individuals and their communities. The excellence and impact of HumanISE’s research, innovation, and consultancy activities allow addressing increasingly complex, volatile, heterogeneous, ambiguous, and uncertain challenges, while ensuring compliance with legal, ethical, and organisational standards and frameworks. Value transfer is achieved through close collaboration with academia and industry partners. HumanISE’s core research areas include Human-Computer Interaction; Computer Graphics and Interactive Digital Media; Information Management and Information Systems; Software Engineering; and Large-Scale and Special-Purpose Computing Systems, Languages, and Tools; as well as Computing for Embedded and Cyber-Physical Systems. HumanISE also explores innovation domains like Earth, Ocean and Space Sciences; Personalised Health Research; Geospatial Information Systems Engineering; and Applied Information Systems and Computing.