cern: Social Media Engagement of Particle Physicists

In speegled/fosdata: Data for use with the book "Probability, Statistics, and Data: A Fresh Approach Using R", by Darrin Speegle and Bryan Clair

Social Media Engagement of Particle Physicists

Description

Social media engagements of 4 different types of posts on 4 different platforms by The European Organization for Nuclear Research, better known as CERN.

Usage

cern

Format

A data frame with 214 observations of 11 variables.

postdate

DD-MMM-YYYY character variable, where MMM is three letter abbreviation for English month

platform

Social media platform of post, factor with 5 levels. Facebook, Google+, Instagra, Tw Frenc, Twitter

type

type of post, factor with 4 levels. GWII = "Guess what that is", News = "News", TBT = "Throw back Thursday", or Wow = "Awe-inspiring images"

subject

subject of post

followers

number of followers on platform at time of post

likes

number of times post was "liked"

comments

number of comments

shares

number of times media was shared

click_throughs

number of click throughs

avg_visit_duration

mean length of time people stayed on CERN cite after click through, in seconds

post

link to actual post on social media

Details

From the authors: "Although the scientific community increasingly recognizes that its communication with the public may shape civic engagement with science, few studies have characterized how this communication occurs online. This study sets out to explore how users engage with science communication items on different platforms of social media, and what are the characteristics of the items that tend to attract large numbers of user interactions."

Source

Kahle K, Sharon AJ, Baram-Tsabari A (2016) Footprints of Fascination: Digital Traces of Public Engagement with Particle Physics on CERN's Social Media Platforms. PLoS ONE 11(5): e0156409. https://doi.org/10.1371/journal.pone.0156409

speegled/fosdata documentation built on Feb. 8, 2025, 8:17 a.m.