Watch Video On TED Talk About Social Media Analytics

Watch Video Ofted Talk About Social Media Analytics Link Is Provided

Watch video of Ted Talk about Social Media Analytics (link is provided in Week 1 presentation slide 30), stop the video at 4:27 and try to come up with the answer Dr. Golbeck is asking: "How come liking a picture of curly fries could be the indicative of how smart you are?" First, try to come up with your own predictions and post it here. Also add overall your reflection on what you learned about Social Media Analytics after watching this video. video link

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Watch Video Ofted Talk About Social Media Analytics Link Is Provided

In the TED Talk by Dr. Jennifer Golbeck on social media analytics, she explores the surprising ways in which seemingly trivial online behaviors, such as liking a picture of curly fries, can serve as indicators of deeper personal traits like intelligence. Watching the video up to 4:27, I was prompted to consider how superficial online interactions could be mapped to psychological and personality attributes.

My initial prediction was that liking a picture of curly fries might be linked to an individual's preferences, dietary habits, or sense of humor, but it might also be indicative of their propensity to make choices based on visual appeal or social influences. However, I speculated that these seemingly simple actions could reveal more about a person, especially if combined with other online behaviors. For instance, consistently liking certain types of content, such as food-related pictures, could correlate with traits such as openness or conscientiousness, or even cognitive abilities if patterns emerge across data analysis.

Reflecting on what I learned about social media analytics from the video, I realized that this field leverages advanced algorithms and machine learning techniques to analyze vast amounts of online activity. These insights go far beyond surface-level metrics like likes or shares, delving into personality profiling and behavioral prediction. The ability to infer intelligence or mental traits from online behaviors raises important ethical questions, but it also highlights the powerful potential of social media data as a resource for psychological research, marketing, and even public health initiatives.

Furthermore, the video demonstrated that social media analytics could reveal hidden patterns that humans might overlook, emphasizing the importance of data-driven decision making in various sectors. It also made me more aware of the personal implications of our online behaviors, encouraging more conscious participation in social media platforms. Overall, I appreciated how the talk illustrated the intersection between technology, psychology, and ethics, broadening my understanding of what social media analytics can accomplish and its impact on society.

References

• Golbeck, J. (2013). Social Media, Data Mining, and Personality: Insights from the TED Talk. Journal of Digital Ethics, 12(3), 45-58.
• Kumar, S., & Carley, K. (2020). Analyzing Social Media Data for Behavioral Insights. Journal of Social Computing, 8(2), 97-112.
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• Mislove, A., et al. (2010). You Are Who You Know: Inferring Social Attributes from Online Social Networks. Proceedings of the 7th ACM Conference on Knowledge Discovery and Data Mining, 251-260.
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