The role of memes in the construction of Facebook personae

Abstract

This research is based on the assumption that social media sites – such as Facebook, Twitter and YouTube – have changed the way in which memes (culturally transmitted ideas) are transmitted or spread. It is argued that social media have provided the most fertile environment for the replication of memes to date. The social networking site Facebook is the main social media example used throughout the research. The way in which Facebook is represented in film, as well as the ways in which the offline lives of the characters are affected by their social media profiles, specifically as depicted in the film Catfish (Joost and Schulman 2010) are analysed. Lastly, it is argued that one can construct an entirely new persona, or merely experiment with different aspects of who you are, on social media sites. This online persona can be influenced by the memes one chooses to spread online. Naturally, all memes carry connotations, values and judgements. These memes collate with one's profile and, thus, the connotations attached to the memes one shares are then associated with one's online persona/profile. It is found that although a social networking user tries to portray him/herself in an idealised manner, these memetic connotations give a true impression of his/her offline persona. As a result, there is not much difference between the user's online and offline personae.     

Do Online Election Campaigns Win Votes? The 2007 Australian “YouTube” Election

Studies of Web use during elections have focused mainly on the content of Web sites and on the major factors driving parties' and candidates' adoption of the technology. Evaluations of the electoral impact of Web campaigns have been more limited. This article examines the nature and extent of Web use by voters and parties in the 2007 Australian federal election, focusing particularly on the consequences of Web 2.0 campaigning for candidate vote share. The findings show differing levels of commitment to older and newer e-campaigning technology across parties and their supporters and significant electoral advantages are associated with minor parties candidates using Web 2.0 campaign tools. The results confirm existing studies' findings about the impact of Web campaigns on contemporary elections, but that these effects are moderated by the type of Web tools used and party using them.     

Hacia una ubicación conceptual de Internet como medio de comunicación

The academic field of communications continues to face several challenges related to its disciplinary development. From an epistemological perspective, the definition of its object of study presents a still unfinished conceptual elaboration which would have made possible a more solid reflection vis-á-vis the new technologies that enable communicative acts in the framework of the media. This article seeks to provide elements that may strengthen this category in view of the Internet as an innovation that offers unprecedented possibilities for interactive communication not only due to the space-time compression it entails, but also to the rhizome structures through which information flows. It argues that the Internet is a communications media with unknown possibilities for expression and dissemination, based mainly on the social uses of hypertextual foundation which facilitates the operation of one of the most frequently used communication environments: the World Wide Web.     

Five Stars and a Cricket. Beppe Grillo Shakes Italian Politics

The article focuses on a new political player: the Five Star Movement led by the comedian Beppe Grillo. The party lies at the junction between different organisational models and conceptions of democracy: it combines an online and an offline presence; it has ‘horizontal’ structural elements, but a top-down decision-making process; it is positioned ‘beyond’ ideologies, while its electorate comes from various political families. The work considers the history, message, leader, organisation and electoral base of the movement, as well as the political opportunity structure that facilitated its growth in 2012 and the challenges it faces in the delicate phase of institutionalisation.     

On The Application of Fuzzy Clustering for Crime Hot Spot Detection

   One of the fundamental challenges in crime mapping and analysis is pattern recognition. Efforts and methods to detect crime hot-spots, or geographic areas of elevated criminal activity, are wide ranging. For aggregate data, such as total crime events in a census tract(s), measures of spatial autocorrelation have proven useful. For disaggregate data (i.e. individual crime events), kernel density smoothing and non-hierarchical cluster analysis (e.g. k-means), are widely used. Non-hierarchical techniques are particularly effective in delineating geographic space into areas of higher or lower crime concentrations, because each observation is assigned to one and only one cluster. The resulting set of partitions provides clear-cut spatial boundaries that can be used for hot-spot evaluation and interpretation. However, the strength of non-hierarchical methods can also be viewed as a weakness. Although the hard-clustering of observations into a set of discrete clusters is helpful, there are many cases where ambiguity exists in the data. In such cases, a more generalized approach for hot-spot detection would be helpful. The purpose of this paper is to explore the use of a generalized partitioning method known as fuzzy clustering for hot-spot detection. Functional and visual comparisons of fuzzy clustering and two hard-clustering approaches (medoid and k-means), across a range of cluster values are analyzed. The empirical results suggest that a fuzzy clustering approach is better equipped to handle intermediate cases and spatial outliers.

Does local access to employment services reduce unemployment? A GIS analysis of One-Stop Career Centers

The paper uses Geographic Information System to investigate (1) the location of One-Stop Career Centers in Southern California, (2) their level of accessibility to unemployed workers of various demographic groups, (3) their proximity to employment opportunities, and (4) the effect of these spatial relations on Census tract unemployment. We build on the non-profit literature on accessibility to social service providers and on spatial mismatch research that emphasizes the gap between places of work and residence. We argue that One-Stops can play an important role in bridging this gap. We find that One-Stops are well positioned to serve the unemployed, although accessibility varies by race/ethnicity, age, and location. Access to One-Stops reduces local unemployment, particularly in neighborhoods with limited employment opportunities. This effect is larger for groups who experience limited mobility due to gender or race, such as black and female job seekers.

城市应急指挥基于GIS的智能辅助决策探究

ＧＩＳ智能辅助决策是未来城市应急指挥的重要手段。本文对ＧＩＳ智能辅助决策的特点、与之有关的主要要素以及为实现这一目标需要采取的措施进行了阐述，并给出了在技术上实现ＧＩＳ智能辅助决策的要点。     

开发基于Web的分布式应用程序策略研究

分布式对象技术已经成为建立服务器应用框架和软件构件的核心技术,本文结合当前三种主流的分布式对象技术CORBA、COM、Java,对开发分布式Web应用系统的策略进行了探讨。     

Do crime hot spots affect housing prices?

ABSTRACT

Our knowledge about what happens to housing values when properties are close to places with high concentrations of crime, often called ‘hot spots’, is limited. Previous research suggests that crime depresses property prices overall, but crime hot spots affect house prices more than crime occurrence does and may affect prices of single-family houses more than prices of flats. Here we employ hedonic price modelling to estimate the impact of crime hot spots on housing sales, controlling for property, neighbourhood and city characteristics in the Stockholm metropolitan region, Sweden. Using a Geographic Information System (GIS), we combine property sales by coordinates into a single database with locations of crime hot spots. The overall effect on house prices of crime (measured as crime rates) is relatively small, but if its impact is measured by distance to a crime hot spot, the effect is non-negligible. By moving a house 1 km further away from a crime hot spot, its value increases by more than SEK 30,000 (about EUR 2,797). Vandalism is the type of crime that most affects prices for both multi- and single-family housing, but that effect decreases with distance from a crime hot spot.     

Saturation Foot-Patrol in a High-Violence Area: A Quasi-Experimental Evaluation

Shoplifting is one of the most common and costly crimes, yet little data exist to determine reliably characteristics of the typical shoplifter or the modus operandi of the crime. It is a crime that has most often been studied using official, secondary data provided by either retail security personnel or law enforcement officers. Reliability issues plague these official data. Continuing the “dark figure of crime” tradition, this study examines shoplifting by covert observation with a camera system installed in a typical suburban retail drug store. A standardized data template was used to record the demographic and behavioral characteristics of shoppers. Significant numbers of shoppers (8.5%) were observed shoplifting. Logistic regression analysis reveals that, while members of some demographic groups shoplifted more often than others, behavioral indicators carried far more predictive power. The methodology and findings are considered within the larger context of the law enforcement and “profiling” literatures.