Beautiful and damned. Combined effect of content quality and social ties on user engagement

User participation in online communities is driven by the intertwinement of the social network structure with the crowd-generated content that flows along its links. These aspects are rarely explored jointly and at scale. By looking at how users generate and access pictures of varying beauty on Flickr, we investigate how the production of quality impacts the dynamics of online social systems. We develop a deep learning computer vision model to score images according to their aesthetic value and we validate its output through crowdsourcing. By applying it to over 15B Flickr photos, we study for the first time how image beauty is distributed over a large-scale social system. Beautiful images are evenly distributed in the network, although only a small core of people get social recognition for them. To study the impact of exposure to quality on user engagement, we set up matching experiments aimed at detecting causality from observational data. Exposure to beauty is double-edged: following people who produce high-quality content increases one's probability of uploading better photos; however, an excessive imbalance between the quality generated by a user and the user's neighbors leads to a decline in engagement. Our analysis has practical implications for improving link recommender systems.Comment: 13 pages, 12 figures, final version published in IEEE Transactions on Knowledge and Data Engineering (Volume: PP, Issue: 99

¿La gente prefiere paisajes naturales? Un estudio empírico en Chile

Existe una conciencia creciente de que la viabilidad de la planificación del paisaje depende del apoyo del público. Sin embargo, el conocimiento sobre percepciones y preferencias del público es generalmente limitado. Este estudio presenta una evaluación del paisaje basada en el observador y atributos físicos del paisaje. Para ello se aplicó un cuestionario en línea (n° respuestas = 643), a partir del cual se recolectó información sobre edad, género, lugar de residencia, nivel de ingresos y nivel educativo, y sobre las preferencias de los encuestados por diversas composiciones y niveles de belleza escénica de paisajes rurales del centro-sur de Chile, usando fotografías. Se analizaron los efectos de la composición y la belleza escénica sobre las respuestas (calificaciones individuales), así como los efectos de interacción entre esos atributos y características personales de los entrevistados mediante la aplicación de medidas multivariadas de repetición ANDEVA y prueba multivariada de Wilks. Las calificaciones tanto de la belleza escénica como de la composición del paisaje varían significativamente entre las fotografías, lo que revela una clara preferencia por paisajes dominados por vegetación nativa sobre paisajes dominados por plantaciones de árboles exóticos o tierras cultivadas. Una porción relativamente baja pero significativa de la variabilidad se explicó por diferencias en las preferencias derivadas de las características personales. Los resultados contribuyen a varios esfuerzos recientes para comprender la opinión pública sobre los cambios del paisaje rural. Específicamente, los resultados respaldan los efectos adversos de la pérdida de hábitats naturales en las apreciaciones de las personas.There is a growing consciousness that the viability of landscape-related policy depends on support from the general public. However, during planning stages, knowledge regarding landscape perceptions and preferences of people is generally absent or limited. This study presents an observer-based landscape assessment, applying a physical landscape attribute approach to measure visual preferences based on photographs. Data on age, gender, place of residence, income and education level were collected by means of a country-wide online questionnaire (n° answers=643), along with information from respondents on visual evaluations of images depicting various compositions and levels of scenic beauty of rural landscapes of south-central Chile. The effects of landscape composition and scenic beauty on responses (individual ratings), as well as the interaction effects between those attributes and personal characteristics, were tested by applying multivariate repeated measures ANOVA and Wilks multivariate tests. Ratings for both scenic beauty and landscape composition significantly varied across photographs, revealing a clear preference for landscapes dominated by native vegetation over landscapes dominated by exotic tree plantations or cultivated lands. A relatively low, nonetheless significant, portion of the rating variability was explained by subtle differences in preferences arising from personal characteristics. Results contribute to several recent efforts to understand public opinion regarding natural and rural landscape changes. Specifically, results sustain the adverse effects of loss of natural habitats on people’s appraisals of rural landscapes.Fil: Nahuelhual, Laura. Centro de Investigación en Dinámica de Ecosistemas Marinos de Altas Latitudes; Chile. Universidad Austral de Chile; ChileFil: Laterra, Pedro. Fundación Bariloche; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Jiménez, Dana. Centro de Ciencia del Clima y la Resiliencia; ChileFil: Báez, Andrea. Universidad Austral de Chile. Facultad de Ciencias Económicas. Instituto de Estadística; ChileFil: Echeverría, Christián. Millennium Nucleus Center for the Socioeconomic Impact of Environmental Policies; Chile. Universidad de Concepción; ChileFil: Fuentes, Rodrigo. Universidad de Concepción; Chil

6 Seconds of Sound and Vision: Creativity in Micro-Videos

The notion of creativity, as opposed to related concepts such as beauty or interestingness, has not been studied from the perspective of automatic analysis of multimedia content. Meanwhile, short online videos shared on social media platforms, or micro-videos, have arisen as a new medium for creative expression. In this paper we study creative micro-videos in an effort to understand the features that make a video creative, and to address the problem of automatic detection of creative content. Defining creative videos as those that are novel and have aesthetic value, we conduct a crowdsourcing experiment to create a dataset of over 3,800 micro-videos labelled as creative and non-creative. We propose a set of computational features that we map to the components of our definition of creativity, and conduct an analysis to determine which of these features correlate most with creative video. Finally, we evaluate a supervised approach to automatically detect creative video, with promising results, showing that it is necessary to model both aesthetic value and novelty to achieve optimal classification accuracy.Comment: 8 pages, 1 figures, conference IEEE CVPR 201

A Study of the Role of Visual Information in Supporting Ideation in Graphic Design

Existing computer technologies poorly support the ideation phase common to graphic design practice. Finding and indexing visual material to assist the process of ideation often fall on the designer, leading to user experiences that are less than ideal. To inform development of computer systems to assist graphic designers in the ideation phase of the design process, we conducted interviews with 15 professional graphic designers about their design process and visual information needs. Based on the study, we propose a set of requirements for an ideation-support system for graphic design