Derek O’Callaghan

ORCID: 0000-0003-0585-8631
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About
Contact & Profiles
Research Areas
  • Hate Speech and Cyberbullying Detection
  • Oceanographic and Atmospheric Processes
  • Social Media and Politics
  • Complex Network Analysis Techniques
  • Ocean Waves and Remote Sensing
  • Spam and Phishing Detection
  • Topic Modeling
  • Opinion Dynamics and Social Influence
  • Spacecraft Design and Technology
  • Populism, Right-Wing Movements
  • Network Security and Intrusion Detection
  • Terrorism, Counterterrorism, and Political Violence
  • Computational and Text Analysis Methods
  • Misinformation and Its Impacts
  • Wikis in Education and Collaboration
  • Satellite Communication Systems
  • Geological and Geophysical Studies
  • Advanced Text Analysis Techniques
  • Geophysics and Gravity Measurements
  • Underwater Acoustics Research
  • Spacecraft and Cryogenic Technologies
  • Expert finding and Q&A systems
  • Media Influence and Politics
  • Internet Traffic Analysis and Secure E-voting
  • Cybercrime and Law Enforcement Studies

University College Dublin
2012-2023

In addition to hosting user-generated video content, YouTube provides recommendation services, where sets of related and recommended videos are presented users, based on factors such as co-visitation count prior viewing history. This article is specifically concerned with extreme right (ER) portions which contravene hate laws thus illegal in certain countries, by some users. We develop a categorization this content various schema found selection academic literature the ER, then used...

10.1177/0894439314555329 article EN cc-by-nc Social Science Computer Review 2014-10-16

The Syria conflict has been described as the most socially mediated in history, with online social media playing a particularly important role.At same time, ever-changing landscape of leads to difficulties applying analysis approaches taken by other studies political activism.In this paper, we propose an approach motivated Grounded Theory method, which is used within sciences perform situations where key prior assumptions or proposal advance hypothesis may not be possible.We apply method...

10.1109/asonam.2014.6921619 article EN 2016 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) 2014-08-01

As the popularity of content sharing websites has increased, they have become targets for spam, phishing and distribution malware. On YouTube, facility users to post comments can be used by spam campaigns direct unsuspecting malicious third-party websites. In this paper, we demonstrate how such tracked over time using network motif profiling, i.e. tracking counts indicative motifs. By considering all motifs up five nodes, identify discriminating that reveal two distinctly different campaign...

10.1609/icwsm.v6i1.14288 article EN Proceedings of the International AAAI Conference on Web and Social Media 2021-08-03

Recent years have seen increased interest in the online presence of extreme right groups. Although originally composed dedicated websites, milieu now spans multiple networks, including popular social media platforms such as Twitter, Facebook and YouTube. Ideally therefore, any contemporary analysis activity requires consideration data sources, rather than being restricted to a single platform. We investigate potential for Twitter act one possible gateway communities within wider network...

10.1145/2464464.2464495 article EN 2013-05-02

The Syria conflict has been described as the most socially mediated in history, with online social media playing a particularly important role. At same time, ever-changing landscape of leads to difficulties applying analytical approaches taken by other studies political activism. Therefore, this paper, we use an approach that does not require strong prior assumptions or proposal advance hypothesis analyze Twitter and YouTube activity range protagonists conflict, attempt reveal additional...

10.5555/3191835.3191918 article EN Advances in Social Networks Analysis and Mining 2014-08-17

As the popularity of content sharing websites such as YouTube and Flickr has increased, they have become targets for spam, phishing distribution malware. On YouTube, facility users to post comments can be used by spam campaigns direct unsuspecting bogus e-commerce websites. In this paper, we demonstrate how tracked over time using network motif profiling, i.e. tracking counts indicative motifs. By considering all motifs up five nodes, identify discriminating that reveal two distinctly...

10.48550/arxiv.1201.3783 preprint EN other-oa arXiv (Cornell University) 2012-01-01

Abstract We assess the potential of network motif profiles to characterize ego-networks in much same way that a bag-of-words strategy allows text documents be compared vector space framework. This is potentially valuable as generic for comparing nodes terms structure which they are embedded. In this paper, we consider computational challenges and model selection decisions involved profiling. also present three case studies concerning analysis Wikipedia edit networks, YouTube spam campaigns,...

10.1017/nws.2013.12 article EN Network Science 2013-08-01

Due to its status as the most popular video sharing platform, YouTube plays an important role in online strategy of extreme right groups, where it is often used host associated content such music and other propaganda. In this paper, we develop a categorization suitable for analysis channels found on YouTube. By combining with NMF-based topic modelling method, categorize originating from links propagated by Twitter accounts. This method also related channels, which are determined using...

10.48550/arxiv.1308.6149 preprint EN other-oa arXiv (Cornell University) 2013-01-01

CubeSats provide opportunities for science and technology demonstration missions with low-cost solutions short project timescales, in particular, studying gamma-ray bursts (GRBs) the multi-messenger era. A robust operations strategy scientific CubeSat projects is key to optimizing results obtained from experimental instruments. The Educational Irish Research Satellite-1 (EIRSAT-1) a 2U three payloads, including bespoke detector, module (GMOD), developed in-house detection of GRBs. reporting...

10.1117/1.jatis.9.3.037001 article EN cc-by Journal of Astronomical Telescopes Instruments and Systems 2023-08-01

Like other social media websites, YouTube is not immune from the attention of spammers. In particular, evidence can be found attempts to attract users malicious third-party websites. As this type spam often associated with orchestrated campaigns, it has a discernible network signature, based on networks derived comments posted by videos. paper, we examine examples different campaigns nature, and use feature selection process identify motifs that are characteristic corresponding campaign...

10.48550/arxiv.1202.5216 preprint EN other-oa arXiv (Cornell University) 2012-01-01

Recent years have seen increased interest in the online presence of extreme right groups. Although originally composed dedicated websites, milieu now spans multiple networks, including popular social media platforms such as Twitter, Facebook and YouTube. Ideally therefore, any contemporary analysis activity requires consideration data sources, rather than being restricted to a single platform. We investigate potential for Twitter act gateway communities within wider network right, given its...

10.48550/arxiv.1302.1726 preprint EN other-oa arXiv (Cornell University) 2013-01-01

Gaia is a major European Space Agency (ESA) astrophysics mission designed to map and analyse 109 stars, ultimately generating more than 1 PetaByte of data-products. As data becomes publicly available reaches wider audience, there an increasing need facilitate the further use products without needing download large datasets. The Added Value Interface Platform (GAVIP) address this challenge by providing innovative platform within which scientists can submit deploy code, packaged as "Added...

10.1117/12.2233619 article EN Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE 2016-07-26

Topic modeling refers to the task of discovering underlying thematic structure in a text corpus, where output is commonly presented as report top terms appearing each topic. Despite diversity topic algorithms that have been proposed, common challenge successfully applying these techniques selection an appropriate number topics for given corpus. Choosing too few will produce results are overly broad, while choosing many result "over-clustering" corpus into small, highly-similar topics. In...

10.48550/arxiv.1404.4606 preprint EN other-oa arXiv (Cornell University) 2014-01-01

Many extreme right groups have had an online presence for some time through the use of dedicated websites. This has been accompanied by increased activity in social media platforms recent years, enabling dissemination content to a wider audience. In this paper, we present analysis selection such on Twitter, using network representations based reciprocal follower and interaction relationships, while also analyzing topics found their corresponding tweets. International relationships between...

10.48550/arxiv.1206.7050 preprint EN other-oa arXiv (Cornell University) 2012-01-01

CubeSats provide opportunities for science and technology demonstration missions with low-cost solutions short project timescales, in particular, studying gamma-ray bursts (GRBs) the multi-messenger era. A robust operations strategy scientific CubeSat projects is key to optimising results obtained from experimental instruments. The Educational Irish Research Satellite (EIRSAT-1) a 2U three novel payloads, including bespoke detector, GMOD, developed in-house detection of GRBs. reporting GRB...

10.1117/12.2631695 article EN 2022-08-25
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