Antonios Anagnostou's research while affiliated with Aristotle University of Thessaloniki and other places
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Publications (4)
Hatebusters is a web application for actively reporting YouTube hate speech, aiming to establish an online community of volunteer citizens. Hatebusters searches YouTube for videos with potentially hateful comments, scores their comments with a classifier trained on human-annotated data and presents users those comments with the highest probability...
We describe the approach we employed for Task II of CLEF eHealth 2017, concerning title and abstract screening in diagnostic test accuracy reviews. Our approach combines a learning-to-rank model trained across multiple reviews with a model focused on the given review, in-crementally trained based on relevance feedback. Our learning-to-rank model is...
The ever growing data collections create the need for brief explorations of the available data to extract relevant information before decision making becomes necessary. In this context of data exploration, current data analysis solutions struggle to quickly pinpoint useful information in data collections. One major reason is that loading data in a...
Citations
... Systematic reviews are costly and often out-of-date by the time they are published due to the amount of time involved in their creation. A wide range of systematic review creation processes have been considered for automation or improvement using semi-automatic techniques [40], including: query formulation [27,46,48], screening prioritisation [1][2][3]7,28,29,37,47,54,56], stopping prediction [7,16,24], assessment of bias [33,43], among others. This paper proposes a technique for screening prioritisation, thus the remainder of this section focuses on this specific task. ...
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... However, texts, photos and videos posted by users may harm their own and other's privacy, thus exposing themselves (and other users) to many risks, from discrimination or cyberbullying to frauds and identity theft. Although user-generated content is often subject to moderation, also adopt-ing automated recognition techniques such as inappropriate content [1], hate speech [2] and cyberbullying [3] detection, there is no control on the sensitivity of posted contents. It is worth noting that social media and forums are not the only platforms that store and publish private contents. ...
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... Using this method above, we identify seven successful topics 2 and six failed topics 3 for query formulation. For query refinement, we identify three succesfull topics 4 , and eleven topics for query refinement 5 . ...
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... Investigative Exploration. We posit that a tool that addresses the domain science requirements above needs more than the standard information exploration mechanisms offered by today's data platforms [1], [2], [6], [9]. 1) While a standard data exploration system typically handles a single type of data (e.g., relational), the desired system should allow exploration of heterogeneous data collections. Social Media data is considered heterogeneous because it can be segmented to subsets of data, where each subset may belong to a different data model. ...
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