Vladimir Barash

Bio: Vladimir Barash is an academic researcher from Cornell University. The author has contributed to research in topics: Social media & Complex contagion. The author has an hindex of 17, co-authored 25 publications receiving 1171 citations. Previous affiliations of Vladimir Barash include Harvard University & Johns Hopkins University.

Analyzing (social media) networks with NodeXL

Abstract: We present NodeXL, an extendible toolkit for network overview, discovery and exploration implemented as an add-in to the Microsoft Excel 2007 spreadsheet software We demonstrate NodeXL data analysis and visualization features with a social media data sample drawn from an enterprise intranet social network A sequence of NodeXL operations from data import to computation of network statistics and refinement of network visualization through sorting, filtering, and clustering functions is described These operations reveal sociologically relevant differences in the patterns of interconnection among employee participants in the social media space The tool and method can be broadly applied

Emoticon Style: Interpreting Differences in Emoticons Across Cultures

Abstract: Emoticons are a key aspect of text-based communication, and are the equivalent of nonverbal cues to the medium of online chat, forums, and social media like Twitter. As emoticons become more widespread in computer mediated communication, a vocabulary of different symbols with subtle emotional distinctions emerges especially across different cultures. In this paper, we investigate the semantic, cultural, and social aspects of emoticon usage on Twitter and show that emoticons are not limited to conveying a specific emotion or used as jokes, but rather are socio-cultural norms, whose meaning can vary depending on the identity of the speaker. We also demonstrate how these norms propagate through the Twitter @-reply network. We confirm our results on a large-scale dataset of over one billion Tweets from different time periods and countries.

Faceplant: Impression (Mis)management in Facebook Status Updates

Abstract: While recent research examined the impressions projected by users of Social Network Sites through their relatively static online profiles, the addition of status updates to Facebook offers the opportunity to study a more fluid type of impression management. In this paper, we take a first look at data collected with a custom application designed to capture the impressions both “given” and “given off” by a user’s status updates. We show that while users generally succeed at presenting a positive image of themselves, they are only partially aware of how they are coming across and tend to underestimate the strength of the impressions they foster. This is particularly prevalent in the case of self-importance, giving credence to the notion that projecting an inflated sense of self can be a risk in a world where impressions are formed based on “micro updates.”

Leveraging social context for searching social media

Abstract: The ability to utilize and benefit from today's explosion of social media sites depends on providing tools that allow users to productively participate. In order to participate, users must be able to find resources (both people and information) that they find valuable. Here, we argue that in order to do this effectively, we should make use of a user's "social context". A user's social context includes both their personal social context (their friends and the communities to which they belong) and their community social context (their role and identity in different communities).

Human MotivationThe Mind in Action: A Study of Motives and Values. A. Campbell Garnett

Abstract: In his Preface the author' says that he started out to review all the more important theories upon the topics ordinarily discussed under human motivation but soon found himself more and more limited to the presentation of his own point of view. This very well characterizes the book. It is a very personal product. It is an outline with some defense of the author's own thinking about instincts and appetites and sentiments and how they function in human behavior. And as the author draws so heavily upon James and McDougall, especially the latter, the book may well be looked upon as a sort of sequel to their efforts. There is a thought-provoking distinction presented between instinct and appetite. An instinct is said to be aroused always by something in the external situation; and, correspondingly, an appetite is said to be aroused by sensations from within the body itself. This places, of course, a heavy emphasis upon the cognitive factor in all instinctive behaviors; and the author prefers to use the cognitive factor, especially the knowledge of that end-experience which will satisfy, as a means of differentiating one instinct from another. In this there is a recognized difference from McDougall who placed more emphasis for differentiation upon the emotional accompaniment. The list of instincts arrived at by this procedure is much like that of McDougall, although the author is forced by his criteria to present the possibility of food-seeking and sex and sleep operating both in the manner of an appetite and also as an instinct. The Shand-McDougall concept of sentiment is taken over and used in the explanation of moral motivation. There is the development within each personality of a sentiment for some moral principle. But this sentiment is not a very powerful motivating factor. It is reinforced by social pressures and by religion, which is treated as an effort of finite man to live in harmony with the infinite reality. Those whose psychological thinking is largely in terms of McDougall will doubtless find this volume a very satisfying expansion; but those who are at all inclined to support their psychological thinking by reference to experimental studies will not be so well pleased. The James-Lange theory, for example, is discussed without mention of the many experimental studies which it has provoked. Theoretical sources appear in general to be preferred to experimental investigations.

The Reader-to-Leader Framework: Motivating Technology-Mediated Social Participation

Abstract: Billions of people participate in online social activities. Most users participate as readers of discussion boards, searchers of blog posts, or viewers of photos. A fraction of users become contributors of user-generated content by writing consumer product reviews, uploading travel photos, or expressing political opinions. Some users move beyond such individual efforts to become collaborators, forming tightly connected groups with lively discussions whose outcome might be a Wikipedia article or a carefully edited YouTube video. A small fraction of users becomes leaders, who participate in governance by setting and upholding policies, repairing vandalized materials, or mentoring novices. We analyze these activities and offer the Reader-to-Leader Framework with the goal of helping researchers, designers, and managers understand what motivates technology-mediated social participation. This will enable them to improve interface design and social support for their companies, government agencies, and non-governmental organizations. These improvements could reduce the number of failed projects, while accelerating the application of social media for national priorities such as healthcare, energy sustainability, emergency response, economic development, education, and more.

On social networks and collaborative recommendation

Abstract: Social network systems, like last.fm, play a significant role in Web 2.0, containing large amounts of multimedia-enriched data that are enhanced both by explicit user-provided annotations and implicit aggregated feedback describing the personal preferences of each user. It is also a common tendency for these systems to encourage the creation of virtual networks among their users by allowing them to establish bonds of friendship and thus provide a novel and direct medium for the exchange of data. We investigate the role of these additional relationships in developing a track recommendation system. Taking into account both the social annotation and friendships inherent in the social graph established among users, items and tags, we created a collaborative recommendation system that effectively adapts to the personal information needs of each user. We adopt the generic framework of Random Walk with Restarts in order to provide with a more natural and efficient way to represent social networks. In this work we collected a representative enough portion of the music social network last.fm, capturing explicitly expressed bonds of friendship of the user as well as social tags. We performed a series of comparison experiments between the Random Walk with Restarts model and a user-based collaborative filtering method using the Pearson Correlation similarity. The results show that the graph model system benefits from the additional information embedded in social knowledge. In addition, the graph model outperforms the standard collaborative filtering method.

Passive Facebook usage undermines affective well-being: Experimental and longitudinal evidence

Abstract: Prior research indicates that Facebook usage predicts declines in subjective well-being over time. How does this come about? We examined this issue in 2 studies using experimental and field methods. In Study 1, cueing people in the laboratory to use Facebook passively (rather than actively) led to declines in affective well-being over time. Study 2 replicated these findings in the field using experience-sampling techniques. It also demonstrated how passive Facebook usage leads to declines in affective well-being: by increasing envy. Critically, the relationship between passive Facebook usage and changes in affective well-being remained significant when controlling for active Facebook use, non-Facebook online social network usage, and direct social interactions, highlighting the specificity of this result. These findings demonstrate that passive Facebook usage undermines affective well-being.