SOURCES: Madden, M.; Lenhart, A.; Cortesi, S.; et al. Teens, Social Media, and Privacy. Washington, DC: Pew Research Center, 2013a. Pew Research Center. Data Trend: Social Media Use by Age Group Over Time. Washington, DC: Pew Research Center, 2014. Available at: -trend/social-media/social-media-use-by-age-group/ Accessed January 4, 2015.
Old Media Meets New Media malayalam movie download
Download Zip: https://gohhs.com/2vCTpm
Whereas health-risk behaviors commonly are displayed on social media sites, negative consequences of these behaviors are not frequently noted. In a study of older adolescents, displays of negative consequences of alcohol use, such as hangovers or embarrassment, on social media sites were rare (Moreno et al. 2010a).
The Media Practice Model states that adolescents choose and interact with media based on who they are, or who they want to be, in that moment (Brown 2000). This model suggests that media users explore information or display content based on experiences or behaviors they are considering, which may lead to reinforcement or advancement of these ideas. Thus, an adolescent who is considering initiating alcohol consumption may choose to watch a movie depicting drinking at a party, which in turn may influence him or her to attend such a party in the future.
Third, research should explore the extent to which young people are exposed to advertising from alcohol manufacturers across social media sites. Regulations or new technology-based methods to avoid displaying such content to underage individuals may be possible and warranted. The same social-marketing approaches that may be used to promote alcohol on social media also can potentially be harnessed to promote abstention before age 21 and responsible use thereafter. In these ways, an improved understanding of the new landscape of social media could be used to reduce the negative consequences of alcohol use among youth.
Real-time updates have become the new norm in social media. With the advent of Twitter in 2006, status updates have become the new norm in social networking. Virtually all major social networks now allow real-time updates.
Social networks and other sites have to rapidly respond to user concerns over privacy and security. With the information in an average social media profile, it would not be inconceivable for a hacker to illegally gain enough information about a person to steal their identity or otherwise cause problems.
Social media has, in the past year or two, become a mainstream online activity. In 2007, social media activities overtook pornography as the most popular online activity in the U.S. (the two industries continue to battle it out, alternately gaining or losing ground on a monthly basis).
The Fifth Amendment could be drawn into such cases when institutional officials question a student regarding the content of social media communications. Due process rights are also created by this Amendment. That addition to the Constitution provides:
For pharmacists, student pharmacists, and pharmacy technicians an additional consideration may be the limitations on use of social media for promotion of products subject to FDA regulation.34 Even though social media communications tend to be less formal than traditional print-based promotions, the same rules of disclosure apply. Similarly, an individual considering starting a business should avoid soliciting investments that could make the communication a security offering and activate jurisdiction by the Securities and Exchange Commission. Both federal and state anti-fraud laws prohibit the use of false or misleading statements in the sale of securities and apply to every offering for sale.
All members of the student body, faculty and staff members, and administration should be educated concerning the legal and ethical issues surrounding social media. Understanding the issues may prevent negative incidents related to social media.
College and school honor codes need to be examined to determine whether they adequately attend to eprofessionalism issues. Most codes were developed prior to social media, therefore they may lack appropriate languages to address problems occurring in or revealed through social media. In the unfortunate circumstances that serious problems arise with a student and the honor code is invoked, the code should clearly refer to eprofessionalism concepts. Otherwise, the college or school's invoking of the honor code may be legally challenged because the code is not inclusive of eprofessionalism issues. As with other matters of a legal nature, due process protections should be considered. Consultation with institutional counsel on this issue can prove to be beneficial.
Colleges and schools should be consistent with regard to how they use social media information of students. Treating student information differently may place the school in a position in which it must defend why irregularities in use occurred. Staying abreast of this topic is necessary to understand the evolving landscape of legal and ethical issues. This area is so new that society is still figuring out how to respond to the myriad of questions raised by social media. As more cases result in court rulings, the picture of the legal landscape will become clearer, but it may be several years before most/all of the controversies are resolved.
The code-mixed data set for SA is classified into 5 classes: Positive, Negative, Unknown state, Mixed feelings, and not-Malayalam. The shared task for SA is constituted of 4851 code-mixed social media comments/posts in the training set, 540 comments in the validation data set and 1348 comments in the test data set. The OLD data set is classified into 5 categories: Not offensive (NF), Offensive Targeted Insult Individual (OTII), not Malayalam (NM), Offensive Targeted Insult Group (OTIG) and Offensive Untargetede (OUT). The shared task for offensive language detection (OLD) is comprised of 16,010 code-mixed social media comments/posts in the training set, 1999 comments/posts in the validation set and 2001 comments in the test data set. Since both the SA and OLD tasks involve a fine-grained approach, the availability of training data per class, is minimal. This gives rise to class imbalance problems (non-uniform distribution of classes in the data set), for the two code-mixed data sets, depicting real-world scenarios (Table 2 presents statistics for the SA stats, Table 3 for statistics of the OLD data set). Random up-sampling technique was used to address the class imbalance problems for both the tasks. Hence, minority classes were sampled repeatedly, so that all classes in each of the data sets have an equal number of samples. Percentage distribution of each class in all the three sets (training, validation and test) are shown separately.
Communication across the world has evolved with the advent of technology and media. There are now several ways to exhibit your work, voice your opinions on issues and spread knowledge and information globally. Related to these, is a phenomenon called Media Convergence. This has emerged due to the immense digitalization and the widespread use of the internet. Industries and organizations across the world have started transforming their methods and have merged the many types of media for better functioning and growth. In this blog, we will go through the various characteristics of media convergence, examples, advantages, and more.
Media Convergence simply refers to the merging of different types of mass media such as Traditional Media, Print Media, Broadcast Media, New Media and the Internet as well as portable and highly interactive technologies through digital media platforms. This results in the combination of 3Cs, i.e. Communication, Computing and Content as all three are integrated through technology. The most relevant example of media convergence is a Smartphone that blends together various media, i.e. print media (e-books, news apps), broadcast media (streaming websites, radio, music apps) as well as new media (the internet) into a single device that performs various functions from calling and texting to photography, videography, gaming and so much more.
Technological convergence is a term that describes the layers of abstraction which enables different technologies to interoperate efficiently as a convergent system. It is when new technologies are created and take over from past technologies and perform the same task in a more efficient manner. Technological convergence is the combination of computing, communication, and content around networked digital media platforms. It further aims to convert existing media into a digital form of technology, for example, viewing a book online (E-books, Kindle). We have compiled some of the basic fundamentals of Technological convergence below:
Just like the general definition of Economic convergence which suggests that countries with lower GDPs are going to grow faster than countries with higher GDP, the Economic media convergence allows a single company to target larger interest groups through various kinds of media. Some of its key features are:
Wondering why media convergence is important? It is important because it blends together content, communication technologies and computer networks thus leading to the immediate transformation of many established industries, services as well as work practices and through all this, new forms of content are born.
The 3Cs of Media Convergence are Computing, Communications, and Content. Media Convergence unites these 3Cs of Computing, Communications and Content and is an immediate result of digitization and promotion of the Internet. To put it even more simply, the convergence of Content with Communication technologies and Computer Networks is what leads to Media Convergence.
While the advantages of this form of convergence focus on content integration, faster access and international reach, disadvantages highlight the impact of convergence on consumers as well as technology. Here are the major disadvantages of media convergence: 2ff7e9595c
Comments