If your participation is for Hackathon section of the XGEN Conference please fill the Call for Abstracts by entering in the Content field the message HACKATHON PARTICIPATION and in the Title field your TEAMNAME.
Hackathon Challenge: Detecting Fake News
Overview
Welcome to the Fake News Detection Hackathon, where participants will tackle the pressing issue of identifying and combating misinformation in the digital age. Fake news poses a significant threat to societal discourse, and this challenge aims to harness the collective ingenuity of participants to develop innovative solutions using a Hybrid Intelligence approach.
Challenge Description
In this hackathon, participants will confront the complex landscape of fake news through a multifaceted lens. The proliferation of misinformation presents a formidable challenge, as detecting fake news is notoriously difficult and its impact on society can be profound and enduring.
The challenge lies in the stark contrast between the effort required to verify an article compared to confirming accepted truths. Often, the truth itself is ambiguous or non-existent, further complicating the task at hand. Moreover, the interpretation of news articles across various platforms can lead to the dissemination of potentially false information, exacerbating the problem.
Additionally, fake news is often propagated for ulterior motives, ranging from financial gain to influencing demographics during elections. The combination of these factors, alongside the inherent ambiguity of truth, makes the detection, verification, and mitigation of fake news arduous and time-consuming.
Objective
Participants are tasked with developing innovative solutions to detect and combat fake news using a Hybrid Intelligence approach. While artificial intelligence can assist in processing vast amounts of data, it lacks the nuanced understanding required to discern the ambiguity inherent in classifying information as truthful or deceptive. A human-centered approach, complemented by artificial intelligence, holds promise for novel solutions.
Data Sources
Participants have the option to train their solutions using their own news datasets or by conducting research on public internet sources. The use of diverse and representative datasets is encouraged to ensure the robustness and effectiveness of the developed solutions.
Deliverables
Participants are expected to develop a prototype or proof-of-concept solution that leverages both human expertise and artificial intelligence to detect and combat fake news effectively. Solutions should address the challenges outlined above, demonstrating creativity, technical proficiency, and a deep understanding of the problem domain.
Evaluation Criteria
Submissions will be evaluated based on their effectiveness in detecting fake news, their ability to address the complexities of the problem, and the degree to which they leverage Hybrid Intelligence principles. Additionally, the feasibility, scalability, and potential impact of the proposed solutions will be considered during evaluation.
The Fake News Detection Challenge offers participants the opportunity to contribute to the fight against misinformation, leveraging the power of Hybrid Intelligence to develop innovative solutions with real-world impact. By collaborating and thinking creatively, participants can help shape a brighter future for digital discourse and societal well-being.
https://arxiv.org/pdf/2111.03299
https://www.kaggle.com/datasets/clmentbisaillon/fake-and-real-news-dataset#True.csv
