This project uses survey data from the Pew Research Center’s American Trends Panel (ATP) to explore patterns in social media usage across the U.S. The Pew Research Center is a nonpartisan research organization that conducts large-scale surveys to inform the public about characteristics of the U.S. Because of Pew’s methodology of publicly documenting its data methods to avoid losing information, Pew is a reliable source.
Within Pew, their collection with ATP has become a key contributor to the work of this project, as it also follows the same values as Pew to allow for a non-biased representation of the U.S. population. With Pew and ATP, this project dives deeper into their work from surveying a large sample of U.S. citizens’ questions about social media usage across the U.S. Through this, the two datasets used for this project are from the 2022 wave and the 2024 wave:
2022 - American Trends Panel Wave 112: Social Media Update
2024 - American Trends Panel Wave 144: Social Media Platform
From this, this project can showcase what the majority of the U.S. thinks about regarding social media.
DatasetIn both the 2022 American Trends Panel Wave 112: Social Media Update and 2024 American Trends Panel Wave 144: Social Media Platform, the surveyors are a variety of adult U.S. citizens from different backgrounds and demographics in hopes of representing all of the U.S. These surveyors answer numerous questions about social media, such as what types of platforms they use and their online experience with the platforms they use. From this, a viewer can understand how Americans interact with social media platforms.
Key variables used in this project include: All of SMUSE
All of SMUSE2
All of SOCIALNEW2
All of FBHARASS, IGHARASS, XTHARASS, TTHARASS FBWHYNTSP_a, IGWHYNTSP_a, XTWHYNTSP_a, TTWHYNTSP_a
All of FBWHY, IGWHY, XTWHY, TTWHY
All of FBTYPE, IGTYPE, XTTYPE, TTTYPE
F_AGECAT F_CDIVISIONThis bar graph hopes to give perspective on how reliable social media platforms are. The x-axis displays the types of social media platforms being used, and the y-axis shows the responses from each surveyor who uses the platforms. In the bar chart, it is filled by the reliability a surveyor feels from using a certain platform. The data used in this bar graph uses the dataset social media usage ATP wave 112.
Using this bar graph, one can note that YouTube is a popular platform that many people use. Additionally, YouTube is the most reliable platform, with Facebook next to it. However, a user can see that with all of these platforms, many people do not see them as reliable, as the user can note that the amount of each platform having not much reliability at all is far greater than a lot of reliability. Through this most users did not find the social media platforms they used to be highly reliable, but there was a wide spread between other users of how unreliable they found a platform.
This line graph aims to showcase the most popular social media platforms people are likely to use to stay up to date with news based on their age. The x-axis displays the four different age groups, and the y-axis represents the percentage of respondents. With this, each shape and color is the platform. The data used in this line graph takes both datasets, the social media platform ATP wave 144 and the social media usage ATP wave 112.
Using this line graph, a user is able to see the progression of the usage of social media to receive news information as people get older. Starting from the youngest age group, 18-29, there is a noticeable decline in social media usage for news information with the following groups. Additionally, the user can note the most popular platforms each age group receives news information from. Looking at the graph, X/Twitter is a popular source to receive information amongst all age groups. Another unique thing to point out is how many people between the ages 18-29 use TikTok rather than Facebook, and once the graph moves on to the next age groups, the usage of TikTok decreases below Facebook.
This graph aims to help viewers understand how much social media platforms are most used based on the U.S. census division. The overall graph is split up into 4 smaller maps for each platform. To see which division uses a certain platform the most, the map is filled with the percentages of how many people from each division use the said platform. From this, the overall graph notes the popularity of each platform within each division. The data used in this line graph takes both datasets, the social media platform ATP wave 144 and the social media usage ATP wave 112.
From this graph, a viewer can see that X is a very popular platform used throughout the U.S., and Instagram is the least used in the Midwest. Some areas of the country more frequently use types of social media platforms.
This graph shows two smaller bar graphs. The bar graph on the right, labeled “Harassment a Reason People Do Not Share,” shows that it is the reason that a user will get harassed or criticized on the designated social media platform they use, a contributor to why they do not share a post. The bar graph on the left, labeled “Harassment Experience,” shows whether harassment is a problem on each social media platform they use. The x-axis displays the four different platforms used in the dataset: Facebook, Instagram, TikTok, and X/Twitter. On the y-axis, the graph shows the response count from every surveyor who uses these platforms. The data used in this bar graph takes the dataset, the social media platform ATP wave 144.
With the “Harassment a Reason People Do Not Share” graph, one can see that there are more Facebook users. Additionally, a user can note that with all platforms, harassment being a reason to not share a post does not become a problem. Looking at the “Harassment Experience” graph, Facebook is also a popular platform being used. Thinking about harassment issues on these platforms, the majority of people tend to look at harassment as a minor problem. From the two graphs, a user can note that while people have mixed feelings about harassment issues on the four social media platforms, people find themselves not considering harassment as a problem, and not sharing posts on these platforms.
In this line plot we used 7 categories of social media content to predict the average frequency of usage, based on how important the user considered the content type to be. The y-axis represents the user-reported usage rates, ranging from 1 representing almost constant use to 6 representing usage every few weeks or less often. This graph shows the average of the usage rates, with lower numerical values representing a high overall reported use. Some prominent results we see include that users for whom entertainment was not a reason to use social media reported the lowest usage rates, while users for whom content types were a major reason reported higher average rates of usage.