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Meetings

KitchenScrap: Fastening SLR Process Following Kitchenham Framework through Data Mining

Okky Ibrohim will introduce us KitchenScrap.

As a researcher, we should conduct research that gives an impact on the community, which means what we do should fill the research gap to solve research problems that have not been solved yet by previous works. To find that research gap, we should explore what has been done by the previous works through a systematic review, one of which is by following the Kitchenham framework. In this tutorial, we will discuss how to do a systematic review using the Kitchenham framework, from defining the research question, the boolean query, to the final dimension analysis step. More important, in this tutorial we will practice how to use KitchenScrap (https://github.com/okkyibrohim/kitchenscrap), a Python library that can help us fasten the systematic review process by semi-automatically collect and filter paper metadata following the Kitchenham framework.

When: 12/05/2023 11:30am

Where: Sala riunioni (1st floor)

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Meetings

The DEEP Sensorium: a multidimensional approach to sensorydomain labelling

Simona Corciulo will introduce the DEEP Sensorium (Deep Engaging Experiences and Practices – Sensorium), a multidimensional dataset that combines cognitive and affective features to inform systematic methodologies for augmenting contents and experiences with multi-sensory stimuli.

When: 21/04/2023 11:30am

Where: Sala seminari (1fs floor)

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Meetings

Is ChatGPT better than Human Annotators?

We well discuss on a work called “Is ChatGPT better than Human Annotators? Potential and Limitations of ChatGPT in Explaining Implicit Hate Speech” published on Association for Computing Machinery.

There will be no formal speakers for this meeting and it is open to everybody’s opinion!

Abstract

Recent studies have alarmed that many online hate speeches are implicit. With its subtle nature, the explainability of the detection of such hateful speech has been a challenging problem. In this work, we examine whether ChatGPT can be used for providing natural language explanations (NLEs) for implicit hateful speech detection. We design our prompt to elicit concise ChatGPT-generated NLEs and conduct user studies to evaluate their qualities by compari- son with human-generated NLEs. We discuss the potential and limitations of ChatGPT in the context of implicit hateful speech research.

When: 10/03/2023 11:30am

Where: Sala riunioni (1fs floor)