Generation Like: Comparative Characteristics in Instagram
Jin Yea Jang, Kyungsik Han, Patrick C. Shih, and Dongwon Lee
College of Information Sciences and Technology
Jang, J. Y., Han, K., Shih, P. C., & Lee, D. (2015). Generation Like: Comparative Characteristics in Instagram. Acm Chi, (October), 4039–4042. http://doi.org/10.1145/2702123.2702555
Summary:
The goal of this paper was to detect the possibility of recognizing age information in user profiles by using an integration of textual and facial recognition procedures and to present a comparison study of 27,000 teens and adults in Instagram. And thus, trying to answer the question of “How do teens use and engage in Instagram compared to adults?” The methods used were first, choosing a random amount of 150,000 users, by using a two step random seed crawling process to minimize bias in the sampling. They also used Face++ which was created to help figure out and supply the age and gender information of the people displayed in the photo. Lastly, they manually confirmed the age of all users to ensure the data accurately portrayed each group. Some of the major findings from this paper were that teens post fewer pictures than adults, but teens tends to post topics associated to themselves and center around self expression. Second, they found that more teens delete photos than adults on a daily basis. Also, teens tend to manipulate their photos to receive as many Likes as they can get, or sometimes remove photos that don’t get many Likes. Next, they found that teens happened to get more Likes, tags, and comment and are more suggestive about theirselves in their profiles and photos. Thus, presenting that teens manipulate social media as a conversation space. This study paved a way for a new possibility of mining endeavors among different age groups in social media. Last, I would like to say that I throughly enjoyed this article. The methods and algorithms used to figure things such as age and gender are really intriguing to me. Although, after reading this I would like to do more research on Face++ and other facial recognition applications and algorithms.
During Todays session we reviewed our ShareLaTex pages that we did for homework, and learned how to manipulate them in order to produce an more organized overlay. Then we learned about Qualitative research and its importance. For example, we talked about how to conduct a useful survey and interview. These two methods of collection qualitative data are extremely effective when done properly, but as we learned there are many ways these things can go wrong, such as, asking open ended questions on surveys or not maintaining a calm and welcoming demeanor during an interview. Then, Ben touched on the Dos and Don’ts in producing an efficient summary. After that, Ben gave us a two hour run through on how to code in Arduino to manipulate our lilypads. We learned how to turn the LED lights on and off, while creating patterns. Next, Ben taught us how to use the light sensor, in our case, as a indicator to start our loop. Within our loop, we tested different tones, one of which was the Harry Potter Theme Song. Personally, this was my favorite portion of todays session. This is due to my interest in coding, especially in Arduino, and because my love for hands on activities, which we haven’t done much of just yet. Lastly, we listened to Fernando’s research project about helping people with stigmatizing diseases, such as HIV. This is my favorite project that we have been presented with thus far, due to its requirement to use and create prototypes, that in the long run can aid in the advancement of helping those with stigmatizing illnesses cope with their pain.