Exploring Social Media for Event Attendance

Large popular events are nowadays well reflected in social media fora (e.g. Twitter), where people discuss their interest in participating in the events. In this paper we propose to exploit the content of non-geotagged posts in social media to build machine-learned classifiers able to infer users' attendance of large events in three temporal periods: before, during and after an event. The categories of features used to train the classifier reflect four different dimensions of social media: textual, temporal, social, and multimedia content. We detail the approach followed to design the feature space and report on experiments conducted on two large music festivals in the UK, namely the VFestival and Creamfields events. Our attendance classifier attains very high accuracy with the highest result observed for the Creamfields dataset ~87% accuracy to classify users that will participate in the event

Event Organization 101: Understanding Latent Factors of Event Popularity

The problem of understanding people's participation in real-world events has been a subject of active research and can offer valuable insights for human behavior analysis and event-related recommendation/advertisement. In this work, we study the latent factors for determining event popularity using large-scale datasets collected from the popular Meetup.com EBSN in three major cities around the world. We have conducted modeling analysis of four contextual factors (spatial, group, temporal, and semantic), and also developed a group-based social influence propagation network to model group-specific influences on events. By combining the Contextual features And Social Influence NetwOrk, our integrated prediction framework CASINO can capture the diverse influential factors of event participation and can be used by event organizers to predict/improve the popularity of their events. Evaluations demonstrate that our CASINO framework achieves high prediction accuracy with contributions from all the latent features we capture.Comment: International AAAI Conference on Web and Social Media (ICWSM) 2017 https://www.aaai.org/ocs/index.php/ICWSM/ICWSM17/paper/view/1557

Getting In On the Act: How Arts Groups are Creating Opportunities for Active Participation

Arts participation is being redefined as people increasingly choose to engage with art in new, more active and expressive ways. This movement carries profound implications, and fresh opportunities, for the nonprofit arts sector.We are in the midst of a seismic shift in cultural production, moving from a "sit-back-and-be-told culture" to a "making-and-doing-culture." Active or participatory arts practices are emerging from the fringes of the Western cultural tradition to capture the collective imagination. Many forces have conspired to lead us to this point. The sustained economic downturn that began in 2008, rising ticket prices, the pervasiveness of social media, the roliferation of digital content and rising expectations for self-guided, on-demand, customized experiences have all contributed to a cultural environment primed for active arts practice. This shift calls for a new equilibrium in the arts ecology and a new generation of arts leaders ready to accept, integrate and celebrate all forms of cultural practice. This is, perhaps, the defining challenge of our time for artists, arts organizations and their supporters -- to embrace a more holistic view of the cultural ecology and identify new possibilities for Americans to engage with the arts.How can arts institutions adapt to this new environment?Is participatory practice contradictory to, or complementary to, a business model that relies on professional production and consumption?How can arts organizations enter this new territory without compromising their values r artistic ideals?This report aims to illuminate a growing body of practice around participatory engagement (with various illustrative case studies profiled at the end) and dispel some of the anxiety surrounding this sphere of activity

The call of the crowd: Event participation in location-based social services

Understanding the social and behavioral forces behind event participation is not only interesting from the viewpoint of social science, but also has important applications in the design of personalized event recommender systems. This paper takes advantage of data from a widely used location-based social network, Foursquare, to analyze event patterns in three metropolitan cities. We put forward several hypotheses on the motivating factors of user participation and confirm that social aspects play a major role in determining the likelihood of a user to participate in an event. While an explicit social filtering signal accounting for whether friends are attending dominates the factors, the popularity of an event proves to also be a strong attractor. Further, we capture an implicit social signal by performing random walks in a high dimensional graph that encodes the place type preferences of friends and that proves especially suited to identify relevant niche events for users. Our findings on the extent to which the various temporal, spatial and social aspects underlie users' event preferences lead us to further hypothesize that a combination of factors better models users' event interests. We verify this through a supervised learning framework. We show that for one in three users in London and one in five users in New York and Chicago it identifies the exact event the user would attend among the pool of suggestions.We acknowledge the support of Microsoft Research and EPSRC through grant GALE (EP/K019392).This is the final published version. It's also available from AAAI at http://www.aaai.org/ocs/index.php/ICWSM/ICWSM14/paper/view/8068. Copyright © 2014, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved

Put on the Wig, It’s Time to Ball: Experiences of a Collegiate Men’s Basketball Fan Group

The purpose of this study is to explore the experiences of a collegiate men’s basketball fan group. Little research has been undertaken exploring student fan groups, especially using ethnographic methods. The primary researcher attended two men’s home basketball games at the University of Illinois at Urbana-Champaign, home of the student fan group, Orange Krush. The researcher also interviewed eleven Orange Krush members about their motivations and experiences in the group. The findings include a new benefit not previously found in the literature: Insider Access. An additional apparent theme was the importance of sport rituals, and the perception by the students that these rituals impact the outcome of the game. Finally, students indicated how the group improved their sense of community and diversity on campus. Implications of this research include sport management professionals emphasizing the importance of fan attendance on game success and ensuring fans feel they are closely connected to the teams so that they feel like insiders, which builds the emotional connection between fan and team

Crowds, Bluetooth and Rock’n’Roll: Understanding Music Festival Participant Behavior

In this paper we present a study of sensing and analyzing an offline social network of participants at a large-scale music festival (8 days, 130,000+ participants). We place 33 fixed-location Bluetooth scanners in strategic spots around the festival area to discover Bluetooth-enabled mobile phones carried by the participants, and thus collect spatio-temporal traces of their mobility and interactions. We subsequently analyze the data on two levels. On the micro level, we run a community detection algorithm to reveal a variety of groups the festival participants form. On the macro level, we employ an Infinite Relational Model (IRM) in order to recover the structure of the social network related to participants' music preferences. The obtained structure in the form of clusters of concerts and participants is then interpreted using meta-information about music genres, band origins, stages, and dates of performances. We show that most of the concerts clusters can be described by one or more of the meta-features, effectively revealing preferences of participants (e.g. a cluster of US bands) and discuss the significance of the findings and the potential and limitations of the used method. Finally, we discuss the possibility of employing the described method and techniques for creating user-oriented applications and extending the sensing capabilities during large-scale events by introducing user involvement.Comment: Presented at Sunbelt 2013 in Hamburg on May, 201

Building a Music Festival: Understanding Media Industry Lore

Music festivals have become culturally salient within the new age of consumer participatory culture. Festivals fundamentally warrant a rite of passage by providing consumers a unique, all-encompassing experience. This critical media industry study examines the music festival industry and its’ usage of lore as industry held logics based off of perceptions of consumer wants and desires that calcify within the industry (Havens and Lotz, 2012). I contend three substantial and emergent lore in the music festival industry identified include millennials, experience economy, and prosumer culture. In addition, this thesis explores industry lore as various textual representations across social and physical media marketing platforms at music festivals

The Paradox of Popularity: Why Popularity Does Not Signal Participation

Although strong ties are typically formed in shared settings, we know little about the characteristics of settings that attract and retain people. Meanwhile, the Internet has broadened the search for settings. As people turn to the web to find local, offline social settings to join, simple, searchable features– notably location, interest, size and age–guide their choices. Whether such features are helpful for establishing meaningful social relations has not been empirically tested. Using unique data on participation in online to offline communities, we explore the characteristics that attract members and the features that aid in their retention. We find that, although prospective members seek large and established groups when searching for organizations, such groups are less likely to foster community through repeated participation