Social and Behavioral Sciences Commons^™

Social Impacts Of Robotics On The Labor And Employment Market, Kelvin Espinal

Dissertations, Theses, and Capstone Projects

Robotics have been introduced into the workplace to perform tasks that human beings have traditionally fulfilled. Complementing or substituting human labor with robotics eliminates human involvement in functions attributable to hazardous environments, heavy lifting, toxic substances, and repetitive low-level tasks. On the other hand, they are meant to be more efficient and cost-effective, saving money, time, and labor. However, since the introduction of robotics in the workforce, societal opposition has been towards this branch of technology in fear of losing employment, wages, and purpose.

Previous studies have reported an overarching societal fear that adopting robotics in the workplace and industry …

Happiness And Policy Implications: A Sociological View, Sarah M. Kahl

Dissertations, Theses, and Capstone Projects

The World Happiness Report is released every year, ranking each country by who is “happier” and explaining the variables and data they have used. This project attempts to build from that base and create a machine learning algorithm that can predict if a country will be in a “happy” or “could be happier” category. Findings show that taking a broader scope of variables can better help predict happiness. Policy implications are discussed in using both big data and considering social indicators to make better and lasting policies.

Measuring Influence On Twitter, Daniela B. Martinez

Publications and Research

A survey took in MAT 1372 about students' opinions on Twitter showed that most of them assumed that if a Twitter account has more followers, it will receive more likes or replies. However, accounts can buy followers, and followers do not necessarily mean engagement. In this paper, we used Twitter because it is a significant player in social media, but we can measure influence without using Twitter's follower count. We took a reference from Meeyoung Cha's article "The Million Follower Fallacy," which has demonstrated that the Twitter follower count is a meaningless metric in determining influence. To measure influence, a …