Content Analysis of Social Media Data Content Analysis of Social Media Data Statement Of Work Content Analysis of Social Media Data Huan Liu, CIDSE, Arizona State University Objective: To help better understand teens online sentiment with marijuana via open platforms such as social networking sites. Context: There is evidence from online conversations on social media, e.g., ATIs Facebook page. Social media refers to the means of interactions among people in which they create, share, and exchange information and ideas in virtual communities and networks. Examples include Facebook, Twitter, LinkedIn, among many. A growing number of people are using social media, interacting with each other for instant communication, information sharing, co-creating user-generated content, and discussion. The pervasive use of social media has made fundamental changes to human communication in all walks of life. People use social media to share their thoughts, express their opinions, and form groups of special interests. Social Media Content Analysis will be carried out to collect and mine existing public data from social networking sites to find what their issues of concerns are, uncover trends in teen language, beliefs, and attitudes about marijuana use. ASU will work to accomplish the following tasks: 1. Data gathering. We will work with the GALEWiLL and Fleishman Hillard teams that will provide a list of language and terms, and geographies of interest, based on their knowledge and their resident teen culture experts, which will help guide the automatic search and crawling process. 2. Sentiment analysis. We will conduct social media mining research tasks to figure out sensible groups and perform sentiment analysis to understand topics of interests that can lead to uncovering trends in teen langue, belief, and attitude. 3. Refining data collection and sentiment analysis. We will present our findings in an easy-tounderstand way to the GALEWiLL and Fleishman Hillard teams in order to further refine and focus on pertinent search. The goal is to increase coverage of data gathering and improve precision of sentiment analysis. 4. Producing findings that can assist comparative research study. We will perform statistical analysis and compile the findings so that the social media samples can be easily compared with other samples in a meaningful manner. This 4.5-month project consists of 3 phases: Phase 1 (2 months): Produce preliminary content analysis findings; Phase 2 (1.5months): Refine the search and data collection, and revise content analysis; and Phase 3 (1 month): Submit final findings that can be used in comparative study.
|Effective start/end date||8/1/13 → 11/30/13|
- INDUSTRY: Domestic Company: $47,695.00
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.