Identificação da Reputação de Áreas Urbanas Externas com Dados de Mídias Sociais
Abstract
Learning people's perception that emerges from urban areas has been an interesting multidisciplinary research goal because it has a great potential to ease the hard task of understanding intrinsic characteristics of urban areas, e.g., their reputation. One common way to do that is by exploring traditional data collection approaches, e.g., interviews. However, traditional methods do not scale easily, difficulting the execution of this type of analysis for a large number of places. To overcome this challenge, we propose an alternative method that explores data from location-based social networks (LBSNs), where a large number of users act as social sensors sharing a considerable amount of opinions about urban areas. Our novel method, namely REP-Map, supports the uncovering and mapping of the reputation of urban outdoor areas. REP-Map explores spatial and semantic aspects in messages shared on LBSNs to identify significant reputation of outdoor areas. Studying outdoor areas of Chicago, we show, through a survey with volunteers, that our method has the potential to correctly capture the reputation that users consider regarding those areas.
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