Internet Research Essay

Through just one click of a button on Facebook, I was able to launch my research survey to my personal network of hundreds of people. This online snowballing approach broadened the pool of participants into a more diverse group of people

After I created my questionnaire, I sent it to various students at my school. The responses trickled in slowly due to many people not regularly checking their school email. Due to little response, I decided an innovative way to access members of my micro world quickly would be through the social networking site ‘Facebook’, this resulted in over 50 responses in only a matter of a few

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Due to the lack of time, we have used a non-list-based random sampling on the internet, which allow for the selection of a probability-based sample without the need to actually enumerate a sampling frame. The researcher distributed the link for the survey among social media and friends. Although, the method is well established, but we should not generalize the result across population.

While my study will focus on millennials, I will specifically be conducting my research on individuals born between 1980 and 2000. In order to receive conclusive results, my case study will involve 40 individuals, with variances in gender, age, and location. My subjects will include ten women and ten men born between the years 1980 and 1990. Ten of the individuals (five women & five men) will live in the southern part of the United States, while the other ten individuals (five women & five men) will have residence in northern states. My case study will also include ten women and ten men born between the years 1990 and 2000. Ten of the individuals (five women & five men) will live in the southern part of the United States, while the other ten individuals (five women & five men) will have residence in northern states. All participants will be active members of at least one of the following social networks: Facebook, Twitter, and/or Instagram. Additionally, all participants will verify in advance that they login to at least one social network at least two times a week.

For this Directed Independent Study, I mainly focused on the top performers for Facebook and analyze the viewers comments for these highest performing contents. Based off of the social media report, I mainly focus on the highest performing Facebook content. I separated the target market by students, faculty, staff, and the community. I also try to see if there was a difference in response rates from each segmentation and if they are correlated in any way. In addition to that, I compared the demographics to the negative and positive comments of each post. My goal was to see if which target leads to a positive and/or negative reaction.

“At Facebook headquarters in California, about 20 engineers and data scientists meet every Tuesday in the “John Quincy Adding Machine” room—“Abraham Linksys” and “Dwight DVD Eisenhower” are nearby. They’re tasked with assessing the billions of likes, comments and clicks Facebook users make each day to divine ways to make us like, comment and click more. In Knoxville, a group of 30 contract workers sit in a room full of desktop computers, getting paid to surf Facebook. They are tasked with scrolling through their News Feeds to assess how well the site places stories relative to their personal preferences. Their assessments, as well as ratings from about 700 other reviewers around the United States, are later fed back to the team in California, all in the service of improving Facebook’s News Feed algorithm, the software that delivers personalized streams of content,” said Victor Luckerson in an article on Time Magazine’s website.

Trattner, C., Kappe, F.: Social Stream Marketing on Facebook: A Case Study. International Journal of Social and Humanistic Computing (IJSHC), 2012.

The Internet attracts so many companies because they can use it as a tool for

Real in-depth research using Facebook or any of the other platforms is painstakingly laborious. But performing the entire process is a breeze using Audience Analyzer!

drop{S}{ocial} networks have been the pulse of human society, traffic on these social networking sites currently rival that of the traditional Web. The digital human activity on social networking sites has generated a tremendous amount of data and due to the availability of affordable and portable digital devices, the social interactions or activities on these networking sites can be measured and stored in digital formats. These data contain a lot of important information and had been used in testing numerous sociological hypothesis and also modeling systems that depend on human activities and research in this area is actively ongoing in the research community.

In this research I will be making a survey, the participants on this survey are going to be people using these social networking sites like Facebook and Twitter it will be published on a Facebook page

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Data collection will be a combination of qualitative and quantitative. It is important to use a combination of both because it will provide more information about application of the study and how future research should be conducted. Before the semester meeting with professors of the ALI program at UMKC to seek permission to begin the study is vital. Meeting early on also begins to form strong communication which is necessary to ensure that assignments and ways of incorporating Facebook in the classroom are different from previous studies. There will be one introductory session with each of the four courses composed of 30 or so students, collectively there will be about 120 students involved in this study. Students will not be informed on the purpose of the study, only that their progress in English will be tracked. Information will be collection from the students that wish to participate such as demographic and contact information, as well as how comfortable they feel with their English. The rest of the surveys throughout the course of the semester will be sent via email. Professors will be making notes of progress or possible problems and at the end of the study they will share how Facebook impacted ELLs’ motivation to learn English, if it did at all.

The lack of recommendations on the use of Social Networking Sites (SNSs) from the academic literature is a huge problem of the study on SNSs. First, it does not prove the readers with any straightforward recommendations on the use of SNSs. Secondly, the researchers rely on previous ideas proposed by academics and, in many cases, do not attempt to confirm or dispel a suspension with their own samples Thirdly, whereas the authors find it necessary not to limit the research to a specific social networking site, it could have been more beneficial to include the differences between the most common SNSs, such as Facebook and Twitter, and see how the recent findings correlate with each other on these grounds (Rodríguez-Hoyos et al., 2015).