Social Media Usage: 2005-2015

By Andrew B. Perrin. 2015

618 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/63f938c65552ae6d9a98d83f0b224339b8a92327

Citations in the corpus

Deep Mean Field Games for Learning Optimal Behavior Policy of Large Populations (2017, unknown): “The inﬂuential role of social media in modern mass movements lends plausibility to this hypothesis (Perrin, 2015), since the availability of information enables individuals to plan and act based on their observations of the global population state.”
Social media in higher education: A literature review of Facebook (2017, unknown): “An American report by Perrin (2015) for the Pew Research Center found that 90% young adults use social media, which also demonstrated a 78% increase over the 12% who used social media in 2005.”
Evaluating the influence of YouTube advertising for attraction of young customers (2016, unknown): “Furthermore, Young generation between 18 and 34 years old who impose two-thirds of YouTube and watch YouTube videos more than any cable TV channel are the most frequent users of this channel (Perrin, 2015).”
The role of social media in sex education: Dispatches from queer, trans, and racialized communities (2018, unknown): “With nearly 65% of American adults using social media (90% of whom are between the ages of 19 and 29) (Perrin, 2015) and 95% of Canada youth holding a Facebook account by grade 11 (Media Smarts, 2014), it is no surprise that social media plays a notable role in politics, journalism, dating, and…”
The Effect of Population and "Structural" Biases on Social Media-based Algorithms: A Case Study in Geolocation Inference Across the Urban-Rural Spectrum (2017, unknown): “Much work has gone into quantifying and understanding these biases, with significant biases being found along gender (e.g., [51]), age (e.g., [39]), race (e.g., [46]), income (e.g., [44]), education (e.g., [39]), and urban/rural lines (e.g., [28]).”
Personal Sensing: Understanding Mental Health Using Ubiquitous Sensors and Machine Learning (2017, unknown): “With 65% of Americans using social media in 2015 (Perrin 2015), platforms such as Facebook and Twitter have become common places where people share their opinions, feelings, and daily experiences.”
A Tale of Four Platforms: Motivations and Uses of Facebook, Twitter, Instagram, and Snapchat Among College Students? (2017, unknown): “Alhabash et al. (2014) pointed that over the past few years, the average number of friends and followers on SNSs such as Facebook has been exponentially increasing.”
Share, like, twitter, and connect: Ecological momentary assessment to examine the relationship between non-work social media use at work and work engagement (2018, unknown): “According to recent surveys, 65% of American adults use at least one social media platform regularly (Duggan, Ellison, Lampe, Lenhart, & Madden, 2015; Perrin, 2015).”
Distilling the Outcomes of Personal Experiences: A Propensity-scored Analysis of Social Media (2017, unknown): “And with the increasing use of personal sensors and devices, from exercise trackers to health monitors, such social streams are becoming more regular, more detailed and more reliable [8, 67, 79].”
Learning Deep Mean Field Games for Modeling Large Population Behavior (2017, unknown): “The increasing usage of social media in modern societies lends plausibility to this hypothesis (Perrin, 2015), since the availability of information enables individuals to plan and act based on their observations of the global population state.”
Hoaxy: A Platform for Tracking Online Misinformation (2016, unknown): “news through social media [2, 30], and more than a billion ∗ Email: shaoc@indiana.edu alone [16].”
Exposure to opposing views on social media can increase political polarization (2018, unknown): “The vast majority of Americans now visit a social media site at least once each day, and a rapidly growing number of them list social media as their primary source of news (24).”
User-generated-content versus marketing-generated-content: personality and content influence on traveler’s behavior (2018, unknown): “According to the “2012 Social Network Analysis” Report by Chappell (2012) and the “Social Media Usage: 2005–2015” Report by the Pew Research Center (2015), social media are mainly used by women”