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Papadopoulo

Biographic Data

ID128824
NAMEPapadopoulo
FAMILY NAMEPapadopoulo
SIGNATUREPAPADOPOULO
AFFILIATIONSInformation Technologies Institute
ORCID0000-0002-5441-7341
VERIFIEDYes
TOTAL WORKS8
TOTAL CITATIONS13
WORKS AS AUTHOR8
WORKS AS EDITOR0
FIRST PUBLICATION YEAR2007
LATEST PUBLICATION YEAR2025
H-INDEX2
  • Red-Dot

    Open Access•Stefanos-Iordanis Papadopoulos, Christos Koutlis et al.•ARTICLE•IEEE Transactions on Computational…•2025

    Online misinformation is often multimodal in nature, i.e., caused by misleading associations between texts and accompanying images. To support the fact-checking process, researchers have been recently developing automatic multimodal methods that gather and analyze external information, evidence, related to the image–text pairs under examination. However, prior works incorrectly assumed that all external information collected from the Web is relev…

  • An AI-Driven News Impact Monitoring Framework Through Attention Tracking

    Open Access•Anastasia Katsaounidou, Paris Xilogiannis et al.•ARTICLE•Societies•2025•References: 7

    The paper presents the motivation, development, and evaluation of an AI-driven framework for media stream impact analysis at the consumption end, employing user reactions monitoring through attention tracking (i.e., eye and mouse tracking). The adopted methodology elaborates on software and system engineering processes, combining elements of rapid prototyping models with interdisciplinary participatory design and evaluation, leaning on the founda…

  • Training in Co-Creation as a Methodological Approach to Improve AI Fairness

    Open Access•Ian Slesinger, Evren Yalaz et al.•ARTICLE•Societies•2024•References: 6

    Participatory design (PD) and co-creation (Co-C) approaches to building Artificial Intelligence (AI) systems have become increasingly popular exercises for ensuring greater social inclusion and fairness in technological transformation by accounting for the experiences of vulnerable or disadvantaged social groups; however, such design work is challenging in practice, partly because of the inaccessible domain of technical expertise inherent to AI d…

  • Verification of News Video Content

    Dimitrios Giomelakis, Olga Papadopoulou et al.•ARTICLE•Journalism Practice•2021•References: 9

    The rapid spread of misinformation online has been deemed as a growing problem in the current digital media environment with significant impact both on journalism and on society at large. As news practitioners are increasingly challenged by information overload and the need to process huge volumes of unstructured and unfiltered data within a very short time span, the veracity of online and User-Generated Content (UGC) and its spread through socia…

  • Bias in data‐driven artificial intelligence systems—An introductory survey

    Open Access•Eirini Ntoutsi, Pavlos Fafalios et al.•ARTICLE•WIREs Data Mining and Knowledge…•2020

    Artificial Intelligence (AI)‐based systems are widely employed nowadays to make decisions that have far‐reaching impact on individuals and society. Their decisions might affect everyone, everywhere, and anytime, entailing concerns about potential human rights issues. Therefore, it is necessary to move beyond traditional AI algorithms optimized for predictive performance and embed ethical and legal principles in their design, training, and deploym…

  • Late Neolithic/Early Bronze Age metallurgical practices at Limenaria, Thasos

    Open Access•Y Bassiakos, Nerantzi et al.•ARTICLE•Archaeological and Anthropological…•2019•Cited by: 8•References: 11

  • Collective Intelligence, Overview

    Open Access•Ioannis Kompatsiaris, Yiannis Kompatsiaris et al.•CHAPTER•Encyclopedia of Social Network…•2014

  • Plant offerings from the classical necropolis of Limenas, Thasos, northern Greece

    Fragkiska Megaloudi, Papadopoulo et al.•ARTICLE•Antiquity•2007•Cited by: 5•References: 6

    Funeral pyres identified at a fourth-century BC cemetery on Thasos have produced a range of plants. The authors show that strongly represented among them are pomegranate, garlic and grape, as well as bread - foodstuffs for funeral feasts and with significance for religious practice

  • Late Neolithic/Early Bronze Age metallurgical practices at Limenaria, Thasos

    Open Access•Y Bassiakos, Nerantzi et al.•ARTICLE•Archaeological and Anthropological…•2019•Cited by: 8•References: 11

  • Plant offerings from the classical necropolis of Limenas, Thasos, northern Greece

    Fragkiska Megaloudi, Papadopoulo et al.•ARTICLE•Antiquity•2007•Cited by: 5•References: 6

    Funeral pyres identified at a fourth-century BC cemetery on Thasos have produced a range of plants. The authors show that strongly represented among them are pomegranate, garlic and grape, as well as bread - foodstuffs for funeral feasts and with significance for religious practice

  • Plant offerings from the classical necropolis of Limenas, Thasos, northern Greece

    Fragkiska Megaloudi, Papadopoulo et al.•ARTICLE•Antiquity•2007•Cited by: 5•References: 6

    Funeral pyres identified at a fourth-century BC cemetery on Thasos have produced a range of plants. The authors show that strongly represented among them are pomegranate, garlic and grape, as well as bread - foodstuffs for funeral feasts and with significance for religious practice

  • Collective Intelligence, Overview

    Open Access•Ioannis Kompatsiaris, Yiannis Kompatsiaris et al.•CHAPTER•Encyclopedia of Social Network…•2014

  • Late Neolithic/Early Bronze Age metallurgical practices at Limenaria, Thasos

    Open Access•Y Bassiakos, Nerantzi et al.•ARTICLE•Archaeological and Anthropological…•2019•Cited by: 8•References: 11

  • Bias in data‐driven artificial intelligence systems—An introductory survey

    Open Access•Eirini Ntoutsi, Pavlos Fafalios et al.•ARTICLE•WIREs Data Mining and Knowledge…•2020

    Artificial Intelligence (AI)‐based systems are widely employed nowadays to make decisions that have far‐reaching impact on individuals and society. Their decisions might affect everyone, everywhere, and anytime, entailing concerns about potential human rights issues. Therefore, it is necessary to move beyond traditional AI algorithms optimized for predictive performance and embed ethical and legal principles in their design, training, and deploym…

  • Verification of News Video Content

    Dimitrios Giomelakis, Olga Papadopoulou et al.•ARTICLE•Journalism Practice•2021•References: 9

    The rapid spread of misinformation online has been deemed as a growing problem in the current digital media environment with significant impact both on journalism and on society at large. As news practitioners are increasingly challenged by information overload and the need to process huge volumes of unstructured and unfiltered data within a very short time span, the veracity of online and User-Generated Content (UGC) and its spread through socia…

  • Training in Co-Creation as a Methodological Approach to Improve AI Fairness

    Open Access•Ian Slesinger, Evren Yalaz et al.•ARTICLE•Societies•2024•References: 6

    Participatory design (PD) and co-creation (Co-C) approaches to building Artificial Intelligence (AI) systems have become increasingly popular exercises for ensuring greater social inclusion and fairness in technological transformation by accounting for the experiences of vulnerable or disadvantaged social groups; however, such design work is challenging in practice, partly because of the inaccessible domain of technical expertise inherent to AI d…

  • Red-Dot

    Open Access•Stefanos-Iordanis Papadopoulos, Christos Koutlis et al.•ARTICLE•IEEE Transactions on Computational…•2025

    Online misinformation is often multimodal in nature, i.e., caused by misleading associations between texts and accompanying images. To support the fact-checking process, researchers have been recently developing automatic multimodal methods that gather and analyze external information, evidence, related to the image–text pairs under examination. However, prior works incorrectly assumed that all external information collected from the Web is relev…

  • An AI-Driven News Impact Monitoring Framework Through Attention Tracking

    Open Access•Anastasia Katsaounidou, Paris Xilogiannis et al.•ARTICLE•Societies•2025•References: 7

    The paper presents the motivation, development, and evaluation of an AI-driven framework for media stream impact analysis at the consumption end, employing user reactions monitoring through attention tracking (i.e., eye and mouse tracking). The adopted methodology elaborates on software and system engineering processes, combining elements of rapid prototyping models with interdisciplinary participatory design and evaluation, leaning on the founda…

Computer Science (6 works) · Political science (3 works) · Archaeology (2 works) · Artificial Intelligence (2 works) · Engineering ethics (2 works) · Ethics and Social Impacts of AI (2 works) · Geography (2 works) · Misinformation and Its Impacts (2 works) · Psychology (2 works) · Sociology (2 works)

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