Bot-Detective

Kouvela, Maria; Dimitriadis, Ilias; Vakali, Athena

doi:10.1145/3415958.3433075

Cited by 19 publications

(8 citation statements)

References 32 publications

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“…The researchers in [16] also looked at two XAI methods, LIME and Saliency Map, and compared them to explain a trained model for website fingerprinting attacks. The most related work to this paper is the work of [17], where Twitter bot detection has been applied and explained using the LIME XAI approach.…”

Section: Related Researchmentioning

confidence: 99%

Unmasking Fake Social Network Accounts with Explainable Intelligence

Alnagi,

Ahmad,

Al-Haija

et al. 2024

IJACSA

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The recent global social network platforms have intertwined a web connecting people universally, encouraging unprecedented social interactions and information exchange. However, this digital connectivity has also spawned the growth of fake social media accounts used for mass spamming and targeted attacks on certain accounts or sites. In response, carefully constructed artificial intelligence (AI) models have been used across numerous digital domains as a defense against these dishonest accounts. However, clear articulation and validation are required to integrate these AI models into security and commerce. This study navigates this crucial turning point by using Explainable AI's SHAP technique to explain the results of an XGBoost model painstakingly trained on a pair of datasets collected from Instagram and Twitter. These outcomes are painstakingly inspected, assessed, and benchmarked against traditional feature selection techniques using SHAP. This analysis comes to a head in a demonstrative discourse demonstrating SHAP's suitability as a reliable explainable AI (XAI) for this crucial goal.

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Section: Related Researchmentioning

confidence: 99%

Unmasking Fake Social Network Accounts with Explainable Intelligence

Alnagi,

Ahmad,

Al-Haija

et al. 2024

IJACSA

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“…A well-designed Python Twitter bot can significantly contribute to an organization's social media marketing efforts and overall digital presence. The importance of this work lies in its ability to streamline social media management for individuals and businesses [12] . Additionally, the project demonstrates the practical application of Python programming skills and showcases the versatility of the Tweepy library in building custom Twitter solutions.…”

Section: Scope Of the Work And Its Importancementioning

confidence: 99%

A python programming widely utilized in the development of a twitter bot as a sophisticated advance technical tool

Tiwari,

Pal,

Chauhan

et al. 2024

Int. J. Comput. Artif. Intell.

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This abstract explores the utilization of Python programming as a pivotal tool in the development of advanced Twitter bots. With the rise of social media automation, Twitter bots have become indispensable for tasks ranging from content curation to real-time data analysis and engagement. Python, known for its simplicity, versatility, and robust libraries, emerges as the preferred programming language for crafting sophisticated Twitter bots. The paper delves into the technical intricacies involved in creating Twitter bots using Python, focusing on key aspects such as data scraping, natural language processing (NLP), sentiment analysis, and machine learning integration. These functionalities enable bots to gather relevant information from tweets, analyze user sentiments, and respond intelligently based on predefined criteria or learning algorithms. The bot's functionalities are authenticated using Twitter API keys and access tokens, with robust error handling mechanisms implemented for smooth operation. Through careful analysis of engagement metrics and audience insights, the bot aims to enhance user engagement, drive content curation, and provide a personalized experience for followers. This research article focus on the basic introduction for python programming involved in the twitter bot development, their scope and importance, pros and cons, methodology/implementation and results & analysis in the brief with the code of involving as python programming.

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“…Closely related to cognitive load are estimates of the time spent on the XAI system or explanation, and the perceived length and/or complexity of the explanation. The former is an objective, quantitative estimate, while the latter is a self-reported measure [18,62,116].…”

Section: 24mentioning

confidence: 99%

On Selective, Mutable and Dialogic XAI: a Review of What Users Say about Different Types of Interactive Explanations

Bertrand

Viard

Belloum

et al. 2023

Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems

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Explainability (XAI) has matured in recent years to provide more human-centered explanations of AI-based decision systems. While static explanations remain predominant, interactive XAI has gathered momentum to support the human cognitive process of explaining. However, the evidence regarding the benefits of interactive explanations is unclear. In this paper, we map existing findings by conducting a detailed scoping review of 48 empirical studies in which interactive explanations are evaluated with human users. We also create a classification of interactive techniques specific to XAI and group the resulting categories according to their role in the cognitive process of explanation: "selective", "mutable" or "dialogic". We identify the effects of interactivity on several user-based metrics. We find that interactive explanations improve perceived usefulness and performance of the human+AI team but take longer. We highlight conflicting results regarding cognitive load and overconfidence. Lastly, we describe underexplored areas including measuring curiosity or learning or perturbing outcomes. CCS CONCEPTS• Human-centered computing → Interaction design theory, concepts and paradigms; • Computing methodologies → Artificial intelligence.

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Bot-Detective

Cited by 19 publications

References 32 publications

Unmasking Fake Social Network Accounts with Explainable Intelligence

Unmasking Fake Social Network Accounts with Explainable Intelligence

A python programming widely utilized in the development of a twitter bot as a sophisticated advance technical tool

On Selective, Mutable and Dialogic XAI: a Review of What Users Say about Different Types of Interactive Explanations

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