Brunel University London
MASTER_babyfever_dataset.sav (9.64 kB)

#babyfever: Social and Media Influences on Fertility Desires

Download (9.64 kB)
posted on 2020-07-15, 10:13 authored by Lora AdairLora Adair
A sample of 499 tweets containing #babyfever were recorded during the fall of 2012. This sample size was determined based on a convenience sampling of the available tweets obtained in a search of the hashtag “#babyfever” during the fall of 2012. When tweets were recorded, raters also collected any available demographic information available on the Twitter user’s personal profile (i.e., the relationship status of the user, biological sex, race/ethnicity, and place of origin). Of the available data, our sample was almost exclusively female (95%), mostly White (67.5%; 16.2% African American, 9.0% Hispanic), and mostly childless (87%) with an average age of 20.52 (SDage = 2.21)

After tweets were recorded, two independent raters that were blind to the hypotheses coded each tweet on the following dimensions: if the tweet mentioned exposure to babies, exposure to pregnant women, exposure to baby-related items, babies in the user’s family, a friend’s or acquaintances’ baby, the perception that “everyone” seems to be having babies, positive emotional valence, negative emotional valence, exposure to babies in the media, inclusion of a baby-related image, or themes of envy, regret, or jealousy. After all 499 tweets were coded on these dimensions, the two raters met to discuss and resolve any coding disagreements – mutual agreement was reached in all cases of differential coding through brief discussions.


Usage metrics

    Brunel University London



    Ref. manager