With the advancement of internet technology, online news content has become very popular. People can now get live updates of the world's news through online news sites. Social networking sites are also very popular among Internet users, for sharing pictures, videos, news links and other online content. Twitter is one of the most popular social networking and microblogging sites. With Twitter's URL shortening service, a news link can be included in a tweet with only a small number of characters, allowing the rest of the tweet to be used for expressing views on the news story. Social links can be unidirectional in Twitter, allowing people to follow any person or organization and get their tweet updates, and share those updates with their own followers if desired. Through Twitter thousands of news links are tweeted every day. Whenever there is a popular new story, different news sites will publish identical or nearly identical versions (``clones'') of that story. Though these clones have the same or very similar content, the level of popularity they achieve may be quite different due to content agnostic factors such as influential tweeters, time of publication and the popularities of the news sites. It is very important for the content provider site to know about which factor plays a important role to make their news link popular. In this thesis research, a data set is collected containing the tweets made for the 218 members of 25 distinct sets of news story clones. The collected data is analyzed with respect to basic popularity characteristics concerning number of tweets of various types, relative publication times of clone set members, tweet timing and number of tweeter followers. Then, several other factors are investigated to see their impact in making some news story clones more popular than others. It is found that multiple content-agnostic factors i.e. maximum number of followers, self promotional tweets plays an impact on news site's stories overall popularity, and a first step is taken at quantifying their relative importance.

The term "young adults" is often used loosely without a clear definition of who this demographic is. This study defines young adults by examining generational differences, their beliefs, uses and nonuses of media, news interests, wants, values for following the news, and expectations and reading experiences of news stories. The uses and gratifications approach and expectancy-value theory provided a framework for this study. Three methodological approaches were used: a secondary data analysis of three national surveys, focus groups and an experiment. The secondary data analysis findings showed the youngest age group (18-24) is leading the new news routine online with news aggregator sites, major and local news sites. The two youngest age groups (18-24 and 25-29) differ from each other and older age groups in their worries, goals, perspectives, beliefs, news interests, media uses, nonuses and political knowledge, and should be studied separately. Stances on social issues and technology are not as clearly defined by age. The findings suggest one's life stage is behind some of the differences. Since no published study to date has conducted focus groups exclusively with nonreaders of print newspapers ages 18-29 to examine their news consumption and nonuses of print newspapers, the present study broke new ground. The findings showed these young adults want searchable, effortless, shorter, more local, accessible anytime news. Both groups (18-24 and 25-29) wanted less negative news, but the younger group justified crime coverage. A few younger group participants expressed a difficult time reading the news and a bias in coverage, especially politics. The experiment used storytelling devices in an attempt to make news writing more digestible, interesting, relevant to young adults' lives, and informative. The findings showed "chunking" text improved perceived comprehension. The device of adding background information, context and a definition improved text recall. The experiment also examined expectations that young adults have prior to reading hard news. For a politics story, experimental group participants expected to understand the story less and have less of an interest than they did. Using these findings, this study suggests ways to get more of this audience (18-29) to tune into the news. / text

The submitted thesis focuses on describing the media image of the abduction of two Czech women in Pakistan, which occurred in March 2013. It aims to analyze the manner in which the selected Czech media informed about the incident. This thesis consists of three parts: theoretical part, methodological part and analytical part. Theoretical part introduces relevant theoretical concepts and frameworks relevant to the actual analysis, methodological part explains the essentials and methods of research, defines the research sample and the reference period. The final analytical part presents the results of the actual research as well as answers the research questions and hypotheses. In order to increase clarity, the results are shown in graphs and tables. The core of the theses is a qualitative and quantitative analysis of the contents of four Czech news servers for the period from March 2013 to mid-April 2015. The selected media are Blesk.cz, iDnes.cz, Novinky.cz and Reflex.cz, which represent one of the most popular and read news sites in the Czech Republic. The quantitative part focuses on the frequency with which the monitored media informed about the abduction Czech tourists, the information sources that were used, the importance of the topic within the particular articles and other aspects....