Online Gaming and Personality: Explaining Gamers’ Cheating Intention

Cheating in online games poses a risk to game publishers, as it deters other gamers and reduces revenues. These facts make it essential for game publishers to understand ‘who’ in the sense of gamers with what personalities have cheating intentions. Building on psychology research, we draw on (a) the big five personality traits and (b) the dark triad personality traits to explain how these reflect gamers’ personalities and together lead to cheating intentions. Following a configurational approach (N=192), we reveal two configurations explaining high cheating intention and one explaining low cheating intention. We contribute to online gaming research by revealing that gamers with cheating intentions have specific personalities. We advance information systems (IS) personality research by combining broad and dark triad traits to explain divergent behavior like cheating

Modelo de um Software Robô para Ações Automáticas no Jogo de MMORPG Tibia

This paper presents the model of a robot software capable of doingsome functions inside the online role-playing game Tibia automaticallywhile avoiding the Battleye anti-cheating system and showcountermeasures that can help Battleye and Tibia developers, aswell as developers of similar games to prevent this type of bot fromsurpassing their anti-cheating system. Among these functions arethe hunting, the healing, and the looting. Specifically, there is anexplanation of the game’s mechanics and how the robot surpassesthe anti-cheating system by analyzing the game screen and simulatingmouse and keyboard functions, without doing any memoryinjection or memory reading. The evaluation of the bot was doneduring six months on ten accounts with different variables suchas the character’s vocation, daily playing time, account status, andwhether the character is hunting in the same place every day orvariation occurs

Comparing the Effects of User Generated Video Reviews and Brand Generated Advertisements on Consumer Decisions on YouTube

This empirical study examines the effects of user generated vlogs (UGV) versus brand generated ads (BGA) on consumer decisions on YouTube. UGV refers to any type of review video content about brands or products, created and published by users on YouTube. BGA refers to brand generated advertisements on YouTube. Guided by the elaboration likelihood model of persuasion, this online experimental research involved a 2 (source: UGV versus BGA) X 2 (involvement: high versus low) X 2 (gender: male versus female) between-subjects research design. Results showed that UGV elicited significantly greater effects on consumer brand attitudes and purchase intentions than BGA, when involvement was high. No significant gender differences were observed. In a constantly growing YouTube influencer economy, this study offers important theoretical and managerial implications