Piece Of Content Research Articles

Access Control Framework for Social Network System using Ontology

In recent years, we have seen unprecedented growth in the area of Online Social Networking (OSN) that is still keeping on day by day. Social networking websites such as Facebook, Google+, and Twitter are using widely by people to share personal and public information with friends, coworkers, colleagues, family and even with strangers .Facebook, one of the most popular social network sites, has million of active users and billions of pieces of content or data that use daily like web links, news stories, blog posts, notes, photo albums, etc. shared each month. To protect such kind for huge or big data or information need more secured and flexible access control model. There are so many access control policies are available for controlling online social network, but all social networking sites like Facebook or Twitter has their own access control mechanism that is not standard and still not more secured or flexible. To protect such kind of publically oriented user data need more dynamic access control model. In order to protect OSN, in this paper an innovative or dynamic access control framework for social networking systems using semantic web ontology has been proposed which addresses the protection of semantic-rich information in a knowledge base ontology

The Cultural Impact of Institutional Remix: The Formalisation of Textual Reappropriation within the ABC

In 2009, Mark Deuze proposed an updated approach to media studies to incorporate ‘media life’, a concept he suggests addresses the invisibleness of ubiquitous media. Media life provides a useful lens for researchers to understand the human condition in media and not with media. At a similar time, public service media (PSM) strategies have aligned audience participation with the so‐called Reithian trinity which suggest the PSB should inform, educate and entertain while performing its core values of public service broadcasting (Enli 2008). Remix within the PSM institution relies on audience participation, employing ‘the people formerly known as the audience’ (Rosen 2006) as cultural artifact producers, and draws on their experience from within the media. Remix as a practice then enables us to examine the shift of the core PSM values by understanding how audience participation, informed by a human condition mobilised from our existence of being in media and not merely with media. However, remix within PSM challenges the once elitist construction of meaning models with an egalitarian approach towards socially reappropriated texts, questioning its affect on the cultural landscape. This paper draws on three years of ethnographic data from within the Australian Broadcasting Corporation (ABC), exploring the remix culture of ABC Pool. ABC Pool operates under a Creative Commons licensing regime to enable remix practice under the auspices of the ABC. ABC Pool users provide a useful group of remix practitioners to examine as they had access to a vast ABC archival collection and were invited to remix those cultural artefacts, often adding cultural and fiscal value. This paper maintains a focus on the audience participation within PSM through remix culture by applying media dependency theory to remix as cultural practice and calls to expand and update the societal representation within the ABC.

Emotion and Virality: What Makes Online Content Go Viral?

Abstract "Companies are relying more and more on online communication to reach consumers. While some viral campaigns are tremendously successful, others remain far below expectations. But why are certain pieces of online content more viral than others? An analysis conducted on the New York Times’ most-emailed list, along with further experimental evidence, showed that positive content is more viral than negative content. However, the relationship between emotion and social transmission is more complex than valence alone. Virality is driven, in part, by activation and arousal. Content that evokes either high-arousal positive emotions (awe) or negative emotions (anger or anxiety) tends to be more viral. Content that evokes low arousal or deactivating emotions (e.g., sadness) tends to be less viral. These results were also true when examining how surprising, interesting, or practically useful content is (all of which are positively linked to virality), as well as external drivers of attention (e.g., how prominently content is featured). Taking the effect of emotions into account helps to design effective viral marketing campaigns. "

NEW

Taking a small piece of content from a syllabus—in this case, mathematics—I offer the learner the experience of applying it by means of the target language. My example is in Applesoft.

Unstructured queries based on mobile user context

PurposeMany mobile devices today are equipped with diversified sensors that enable the acquisition of rich user context (e.g. GPS location, phone activity) for application utilization. With the growing usage of mobile devices in daily life, the problem of conveniently and promptly searching a piece of content that a user has viewed on his/her device before becomes more and more crucial. This paper aims to propose a context‐based query processing framework called UCQP that supports unstructured queries for content search in a user's access history.Design/methodology/approachBeyond the keywords related to the content properties, a context query in the framework is specified with freeform phrases that describe high‐level mobile contexts of the user at a previous time when the user viewed the searched content.FindingsExperimental results on a prototype system of the framework illustrate its good accuracy and small response time.Originality/valueTo tolerate the incompleteness and inaccuracy in user query texts caused by fading human memory, the authors develop several semantic query parsers that are tailored for different types of contexts using natural language processing and information retrieval techniques. The authors further propose a similarity model to rank the multiple result contents of a query by comparing context entities specified in the query and historical context values associated with each result.

Empowering web portal users with personalized text mining services

Empowering web portal users with personalized text mining services

Just a preference: racialised language in the sex-seeking profiles of gay and bisexual men

Racialised language is a salient and contested aspect of contemporary sexual cultures, particularly in the online domain. This paper explores the ways in which gay men in Australia employ race-related language when using online sex/dating websites. Using inductive content analysis, descriptive categories were developed to identify recurrent patterns in the racialised language employed by website users. A coding framework was then constructed to identify the ‘subject’ (self, other or concept) of each piece of race-related content, its ‘purpose’ (marketing, negative or positive discrimination, commentary) and the ‘position’ adopted (defensive, normalised or critical). Descriptive and comparative analyses revealed differences in the ways in which members of racial groups employed racialised language online. These differences are reviewed in relation to broader discourses on Whiteness and race in Australia, as well as recent community-produced anti-racism campaigns.

Don't Click Here

One of the most important aspects of multimedia research is mining data about user behavior. In a world with one or fewer clicks per piece of content, one needs a lot of users to get a meaningful signal. A monetization ecosystem now directs multimedia research and is changing how we think about people, interaction, media engagement, and data instrumentation. Single clicks, touches, and gestures are now powerful, often complex interactions that are part of our everyday vernacular. Currently, touchless interactions and zero-click interfaces bring us content, push notifications, and recommend playlists. Beyond this, the absence of interaction, the minus one click, is taking the forefront.

ANALIZA TISKOVNIH I INTERNETSKIH OBJAVA O LOBIRANJU U HRVATSKOJ

The aim of the paper is to analyze media content about in Croatia, in order to point to the prevailing tone and relevance of the term lobbying in contemporary media content. The authors conducted quantitative content analysis of information published in daily and weekly newspapers, magazines and on Internet portals. In total, 512 pieces of content, issued in the period from 1st January 2009 until 1st July 2010 were analyzed. Only whole articles which contained in title or in body of the text the terms lobbying, lobbyist and/or lobby were analyzed. The analysis points toward two general conclusions: (1) lobbyists and are interesting to media, which is supported by the fact that the amount of media content on is rather large and increasing through time, and (2) media contents on are different, with regards to the analysis criteria. Contents in which represents the essence of a text are dominantly positive in their tone, while contents in which is not the main term, or is just partially mentioned, are dominantly negative in their tone, regardless of the aspect of analysis, i.e. whether is analyzed from a political or business perspective.

Finding people and their utterances in social media

At the beginning of the twenty-first century, the web entered a phase of explosive growth. Since then, a multitude of platforms has become available for users to publish information, communicate with others, connect to like-minded individuals, and share anything that they want to share. These platforms are commonly known as social media. Social media enables many-to-many communication: many people can create content, which in turn can be read by many others. To make interesting content findable for many people, machines need to be able to identify the "right" pieces of content or the "appropriate" content creators. That is, we need ways to intelligently access information in social media. The main motivation for the research in my thesis is that we want to enable intelligent access to, and analysis of, the information contained in social media. To this end, we must determine the topical relevance of social media documents, while countering the specific challenges posed by their noisy and creative nature. We identify two entry points for accessing information in social media: (i) the people creating the social media and (ii) their individual utterances (e.g., blog posts, tweets). These entry points act as a doorway to the information in social media. The aim of the thesis is to improve searching for people and their utterances in social media, thereby offering intelligent access to the information it contains. In the thesis we explore ways to improve retrieval effectiveness, for both people and their utterances, in five research chapters. We start with an extensive analysis of the query logs of a people search engine and show that users are mainly interested in finding social media profiles of people for whom they search. We continue with our focus on searching for people in the second chapter, but adopt a more technical perspective. We use blog posts as representation of bloggers' interests and show that for blogger finding a combination of two models, one based on individual blog posts and one on aggregated blogger models, is both effective and efficient. In the remaining three chapters we move away from finding people and focus on individual utterances. Specifically, we look at blog post retrieval in two chapters and email retrieval in mailing lists in the last chapter. For blog post retrieval we explore the use of indicators obtained from a credibility framework. We propose ways of estimating these indicators and rerank an initial list of blog posts based on these (combined) indicator scores. We find that incorporating these indicators leads to improvements and our analysis determines indicators that are most influential. The second chapter on blog post retrieval and the chapter on email search both use a notion of "context" to help improve retrieval effectiveness. For blog post retrieval we observe that much of what is written in blog posts is based on things happening the bloggers' environments. To use this observation we propose a generative retrieval model that uses information from a set of external sources. We test our model using a news collection, Wikipedia, and a web collection as external sources. We find that our model is capable of improving retrieval performance on most topics and that the per-topic collection importance is a very useful component of the model. Finally, the last research chapter uses the direct context of emails to refine queries; we explore the use of threads, the entire mailing list, and the pages from within the same community as sources for query expansion terms. Besides that, we also incorporate the previously mentioned credibility-inspired indicators in this setting. We find that context helps in improving retrieval performance, as do the credibilityinspired indicators. Concluding, my thesis provides new insights into search behavior in social media and shows that a diverse set of methods can help improve retrieval effectiveness for multiple information access tasks within social media. Available online at http://wouter.weerkamp.com/.

What Makes Online Content Viral?

Why are certain pieces of online content (e.g., advertisements, videos, news articles) more viral than others? This article takes a psychological approach to understanding diffusion. Using a unique data set of all the New York Times articles published over a three-month period, the authors examine how emotion shapes virality. The results indicate that positive content is more viral than negative content, but the relationship between emotion and social transmission is more complex than valence alone. Virality is partially driven by physiological arousal. Content that evokes high-arousal positive (awe) or negative (anger or anxiety) emotions is more viral. Content that evokes low-arousal, or deactivating, emotions (e.g., sadness) is less viral. These results hold even when the authors control for how surprising, interesting, or practically useful content is (all of which are positively linked to virality), as well as external drivers of attention (e.g., how prominently content was featured). Experimental results further demonstrate the causal impact of specific emotion on transmission and illustrate that it is driven by the level of activation induced. Taken together, these findings shed light on why people share content and how to design more effective viral marketing campaigns.

Performance Analysis of Fingerprinting Extraction Algorithm in Video Copy Detection System

A video fingerprint is a recognizer that is derived from a piece of video content. The video fingerprinting methods obtain unique features of a video that differentiates one video clip from another. It aims to identify whether a query video segment is a copy of video from the video database or not based on the signature of the video. It is difficult to find whether a video is a copied video or a similar video, since the features of the content are very similar from one video to the other. The main focus of this paper is to detect that the query video is present in the video database with robustness depending on the content of video and also by fast search of fingerprints. The Fingerprint Extraction Algorithm and Fast Search Algorithms are adopted in this paper to achieve robust, fast, efficient and accurate video copy detection. As a first step, the Fingerprint Extraction algorithm is employed which extracts a fingerprint through the features from the image content of video. The images are represented as Temporally Informative Representative Images (TIRI). Then, the second step is to find the presence of copy of a query video in a video database, in which a close match of its fingerprint in the corresponding fingerprint database is searched using inverted-filebased method. The proposed system is tested against various attacks like noise, brightness, contrast, rotation and frame drop. Thus the performance of the proposed system on an average shows high true positive rate of 98% and low false positive rate of 1.3% for different attacks.

(SNTL #3) Design and Implementation Challenges to an Interactive Social Media Based Learning Environment

Introduction The advent of social media has dramatically altered the way many people interact with their peers, the public, and the world at large. Twitter gives users instantly updated windows into the lives of those they follow. Sites like Fitocracy have attempted to make activities that are as tiring as exercising into game-oriented and socially-driven events. The challenge for educators is to adapt to these technologies correctly: taking advantages of their strengths and avoiding their weaknesses. This paper describes the final developments of an interactive social media based learning environment and the challenges it faces as it transitions through the beta-test environment to become a completed production system. The web-based tool embraces the social media environment and is designed to encourage student interaction and foster a new, socially-driven, learning experience. The tool allows students to view and navigate lecture slide shows, participate in quizzes, take notes, ask questions, participate in a classroom chat room, and receive awards for their activities. The challenges that confront the development and deployment of the tool are both technical and interpersonal. One of the technical challenges is the load posed on the underlying infrastructure by serving lecturer-created content to the students. Another challenge is the load posed on the underlying infrastructure by student generated information, such as chat, that needs to be served to all other users. On an interpersonal level, additional features and options pose the risk of distracting students from the primary goal of learning. Social media has come to dominate the interpersonal networking landscape. It has revolutionized the way people interact, the way they communicate, and even the way they think (Weisgerber & Butler, 2010). The rise of social software provides new avenues and new opportunities for increased participation and collaboration and an opportunity to change the way people learn (Parker & Chao, 2008; Prensky 2011). The participatory web, including social networking sites such as Facebook and content-sharing sites such as YouTube and Flickr, allows individuals to establish or maintain connections with others, establish their social networks, and share information in the form of wikis, blogs, tweets, podcasts, video, RSS feeds, and more (McCarthy, 2010). Facebook currently claims over 800 million active users sharing more than 30 billion pieces of content each month in the form of web links, news stories, blog posts, notes, photo albums, etc. (Facebook Statistics, 2011). Twitter, a social networking and micro-blogging service, is averaging 140 million tweets per day, up from 50 million the previous year, and gets 460,000 new accounts every day (Twitter Statistics, 2011). People are flocking to the Internet in order to upload pictures, share videos, tell stories, and simply interact with others (Weisgerber & Butler, 2010). One aspect of social media that has gained tremendous attention and growth is gaming. These are not the traditional video games of years past, but simple, socially-leveraged games that play to the strengths of social media. These games are often simplistic and repetitive, but they engage the users to a tremendous degree. They amply demonstrate the ability to hook a user with simple game-play and a reward mechanism that has no intrinsic value. The quest for awards and rewards drives usage of these applications, though some argue there is a strong element of social obligation (Liszkiewicz, 2010). In a 2010 PopCap Games research paper, 35% of respondents said they played for the opportunity to win prizes, and Incentives/Prizes/Rewards was the second most common suggestion for how developers could enhance game-play experiences (Information Solutions Group, 2010). This paradigm has been brought outside of simple gaming activities to utilize award-driven motivation in other arenas. …

Guidelines for Screening Social Networks in Hiring

Guidelines for Screening Social Networks in Hiring

Future Link Prediction in the Blogosphere for Recommendation

The phenomenal growth in both scale and importance of social media such as blogs, micro-blogs and user-generated content, has created a need for tools that monitor information diffusion and make recommendations within these platforms. An essential element of social media, particularly blogs, is the hyperlink graph that connects various pieces of content. There are two types of links within the blogosphere; one from blog post to blog post, and another from blog post to blog channel (an event stream of blog posts). These links can be viewed as a proxy for the flow of information between blog channels and to reflect influence. Given this assumption about links, the ability to predict future links can facilitate the monitoring of information diffusion, making recommendations, and word-of-mouth (WOM) marketing. We propose different methods for link predictions and we evaluate these methods on an extensive blog dataset.

Discrimination of media moments and media intervals: sticker-based watch-and-comment annotation

In this paper we discuss the problem of how to discriminate moments of interest on videos or live broadcast shows. The primary contribution is a system which allows users to personalize their programs with previously created media stickers—pieces of content that may be temporarily attached to the original video. We present the system’s architecture and implementation, which offer users operators to transparently annotate videos while watching them. We offered a soccer fan the opportunity to add stickers to the video while watching a live match: the user reported both enjoying and being comfortable using the stickers during the match—relevant results even though the experience was not fully representative.

IT security needs a new perspective

Official statistics from Facebook tell us that, “More than 30 billion pieces of content (web links, news stories, blog posts, notes, photo albums, etc) are shared each month”, and that “people spend over 700 billion minutes per month on Facebook”. When Twitter celebrated its fifth birthday in March, it posted a few impressive stats of its own about its growth: from the date of the first-ever tweet, it took three years, two months and one day for the billionth tweet to be sent. Today, there are more than a billion tweets sent every week.

From Facebook to Mug Shot: How the Dearth of Social Networking Privacy Rights Revolutionized Online Government Surveillance

Each month, Facebook’s half billion active users disseminate over 30 billion pieces of content. In this complex digital ecosystem, they live a parallel life that, for many, involves more frequent, fulfilling, and compelling communication than any other offline or online forum. But even though Facebook users have privacy options to control who sees what content, this Article concludes that every single one of Facebook’s 133 million active users in the United States lack a reasonable expectation of privacy from government surveillance of virtually all of their online activity. Based on Facebook’s own interpretations of federal privacy laws, a warrant is only necessary to compel disclosure of inbox and outbox messages less than 181 days old. Everything else can be obtained with subpoenas that do not even require reasonable suspicion. Accordingly, over the last six years, government agents have worked the beat by mining the treasure trove of personal and confidential information on Facebook. But while Facebook has been justifiably criticized for its weak and shifting privacy rules, this Article demonstrates that even if it adopted the strongest and clearest policies possible, its users would still lack reasonable expectations of privacy under federal law. First, federal courts have failed to properly adapt Fourth Amendment law to the realities of Internet architecture. Since all Facebook content has been knowingly exposed to at least one third party, the Supreme Court’s current Fourth Amendment jurisprudence does not clearly stop investigators from being allowed carte blanche to fish through the entire site for incriminating evidence. Second, Congress has failed to meaningfully revise the Electronic Communications Privacy Act (ECPA) for over a quarter century. Even if the ECPA were amended to cover all Facebook content, its lack of a suppression remedy would be one of several things that would keep Facebook a permanent open book. Thus, even when the government lacks reasonable suspicion of criminal activity and the user opts for the strictest privacy controls, Facebook users still cannot expect federal law to stop their private content and communications from being used against them. This Article seeks to bring attention to this problem and rectify it. It examines Facebook’s architecture, reveals the ways in which government agencies have investigated crimes on social networking sites, and analyzes how courts have interpreted the Fourth Amendment and the ECPA. The Article concludes with an urgent proposal to revise the ECPA and reinterpret Katz before the Facebook generation accepts the Hobson’s choice it currently faces: either live life off the grid or accept that using modern communications technologies means the possibility of unwarranted government surveillance.

Digital fingerprinting: problems and solutions

Encryption can provide multimedia data with the desired security during transmission. However, once a piece of multimedia content is decrypted, the dishonest customer can redistribute it arbitrarily. Digital fingerprinting is an emerging technology for copyright protection of multimedia data, where unique identification information called fingerprint is embedded into each distributed copy. Once an unauthorised content copy is found somewhere, the embedded fingerprint can uniquely identify the source of the leakage. There are three main problems with digital fingerprinting systems, which are collusion attack, the distribution of the marked copies and the fairness of both the merchant and the customer. In this paper, we summarise the current state-of-the-art of the solutions to the main problems of digital fingerprinting.

Delay Bounds of Chunk-Based Peer-to-Peer Video Streaming

Peer-to-peer (P2P) systems exploit the uploading bandwidth of individual peers to distribute content at low server cost. While the P2P bandwidth sharing design is very efficient for bandwidth-sensitive applications, it imposes a fundamental performance constraint for delay-sensitive applications: The uploading bandwidth of a peer cannot be utilized to upload a piece of content until it completes the download of that content. This constraint sets up a limit on how fast a piece of content can be disseminated to all peers in a P2P system. In this paper, we theoretically study the impact of this inherent delay constraint and derive the minimum delay bounds for P2P live streaming systems. We show that the bandwidth heterogeneity among peers can be exploited to significantly improve the delay performance of all peers. We further propose a conceptual snowball streaming algorithm to approach the minimum delay bound in a dynamic P2P networking environment. Our analysis and simulation suggest that the proposed algorithm has better delay performance and more robust than static balanced multi-tree-based streaming solutions. Insights brought forth by our study can be used to guide the design of new P2P systems with shorter streaming delays.