Publication: TBOTDETECTOR:análisis de bots y redes de bots en la red social twitter
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2017
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Abstract
Se presenta la herramienta Web para la identificación de perfiles bot TBotDetector, desarrollado para cualquier tipo de navegador web, adaptado para Smartphone y Tablet, se centra en la red social Twitter.
Twitter es una fuente de información de creciente importancia. Para el usuario es sencillo publicar contenido que sea visionado por el resto sin ser conscientes de la calidad, validez o su relevancia. Muchos usuarios son en realidad bots controlados por personas con el objetivo de promover o desacreditar contenidos. Cada vez es más difícil distinguirlos por lo que se hace necesario formas de luchar contra estas maniobras de contra información identificando y denunciando redes de bots.
Para ello, este proyecto plantea dos objetivos: decidir si una cuenta es gestionada o no por un bot y buscar conjuntos de bots que operen de forma conjunta. TBotDetector proporciona análisis del perfil y contenido de un set de tweets para detectar este tipo de usuarios.
El trabajo muestra cómo generar informes con evidencias que sugieran que una cuenta puede o no ser un bot y que puede o no pertenecer a una red bot. La fiabilidad de los informes no es absoluta, y por ello deben ser tomados como un punto de partida para otras acciones.
TBotDetector is a web tool to identify bots in Twitter. Twitter actually is an important source of information. Users find very easy to post their content so that other users can see them but thye don´t know the quality, validity or relevance of the information. Many users are not such, but programmed bots controlled by a human operator to promote or discredit content. It is increasingly difficult to distinguish them. For achieve this it is necessary to invent methods to identify and report them. This Project has two objectives: the first is identify bots accounts and the second is discover botnets in Twitter. TbotDetector provides profile analysis and content a set of tweets. The work shows analysis reports examples that indicate the possibility a user account is a bot of part of a net of bots. Reports are indicators, nor facts. Therefore, they should be used only as a warning sign and the first step towards a more thorough investigation.
TBotDetector is a web tool to identify bots in Twitter. Twitter actually is an important source of information. Users find very easy to post their content so that other users can see them but thye don´t know the quality, validity or relevance of the information. Many users are not such, but programmed bots controlled by a human operator to promote or discredit content. It is increasingly difficult to distinguish them. For achieve this it is necessary to invent methods to identify and report them. This Project has two objectives: the first is identify bots accounts and the second is discover botnets in Twitter. TbotDetector provides profile analysis and content a set of tweets. The work shows analysis reports examples that indicate the possibility a user account is a bot of part of a net of bots. Reports are indicators, nor facts. Therefore, they should be used only as a warning sign and the first step towards a more thorough investigation.
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Trabajo de Fin de Grado en Ingeniería del Software (Universidad Complutense, Facultad de Informática, curso 2016/2017)