We use cookies to distinguish you from other users and to provide you with a better experience on our websites. Close this message to accept cookies or find out how to manage your cookie settings.
To save content items to your account,
please confirm that you agree to abide by our usage policies.
If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account.
Find out more about saving content to .
To save content items to your Kindle, first ensure no-reply@cambridge.org
is added to your Approved Personal Document E-mail List under your Personal Document Settings
on the Manage Your Content and Devices page of your Amazon account. Then enter the ‘name’ part
of your Kindle email address below.
Find out more about saving to your Kindle.
Note you can select to save to either the @free.kindle.com or @kindle.com variations.
‘@free.kindle.com’ emails are free but can only be saved to your device when it is connected to wi-fi.
‘@kindle.com’ emails can be delivered even when you are not connected to wi-fi, but note that service fees apply.
To assess viewer engagement of a food advertising campaign on the live streaming platform Twitch.tv, a social media platform that allows creators to live stream content and communicate with their audience in real time.
Design:
Observational analysis of chat comments across the Twitch platform containing the word ‘Wendy’s’ or ‘Wendys’ during a 5-day ad campaign compared with two 5-day non-campaign time periods. Comments were categorised as positive, negative or neutral in how their sentiment pertained to the brand Wendy’s.
Setting:
Twitch chatrooms.
Participants:
None.
Results:
There were significantly more chatroom messages related to the Wendy’s brand during the campaign period. When considering all messages, the proportion of messages was statistically different (x2 = 1417·41, P < 0·001) across time periods, with a higher proportion of neutral and positive messages and a lower proportion of negative messages during the campaign compared with the comparison periods. Additionally, the proportion of negative messages following the campaign was lower than before the campaign. When considering only positive and negative messages, the proportion of messages was statistically different (x2 = 366·38, P < 0·001) across each time period with a higher proportion of positive messages and a lower proportion of negative messages during the campaign when compared with the other time periods. Additionally, there was a higher proportion of positive messages and a lower portion of negative messages following the campaign when compared with before the campaign.
Conclusions:
This study demonstrates the impact and sustained impact of a fast-food brand ad campaign on brand engagement on the live streaming platform Twitch.
To compare and evaluate the prevalence of food and beverage marketing on the livestreaming platforms Twitch, Facebook Gaming and YouTube Gaming, as well as examine growth of food and beverage marketing on these platforms over a 17-month period of data collection.
Design:
Cross-sectional data were analysed across three livestreaming platforms and six food and beverage categories: alcohol, candy, energy drinks, snacks, sodas and restaurants.
Setting:
Stream titles of livestreamed events as well as corresponding hours watched on Twitch, Facebook Gaming and YouTube Gaming.
Participants:
None.
Results:
There were significant differences between the use of food and beverage brand mentions in stream titles across all three studied platforms (P < 0·05), as well as hours watched across platforms (P < 0·05). Energy drinks dominated food and beverage brand mentions across platforms, followed by restaurants, soda and snacks. All platforms demonstrated growth over the 17-month data collection period. Post-hoc analyses revealed that the COVID-19 pandemic impacted both immediate and sustained growth across all platforms, with the greatest impact observed on the Twitch platform.
Conclusions:
Food and beverage marketing as measured through stream titles is widely prevalent across the three most popular livestreaming platforms, particularly for energy drinks. Food marketing on these platforms experienced growth over the past 17 months which was accelerated substantially by the COVID-19 pandemic. Future work should assess the sustained impact this growth may have on marketing practices and eating behaviour.
To evaluate the prevalence of food and beverage marketing on Twitch.tv (Twitch), a social media platform where individuals broadcast live audiovisual material to millions of daily users.
Design:
Observational analysis of the prevalence of 238 food and beverage brands in five distinct categories (processed snacks; food delivery services and restaurants; candies, energy drinks/coffees/teas; and sodas and other sugar-sweetened beverages) over the course of 18 months.
Setting:
Twitch streamer profiles and stream titles between January 2018 and July 2019. Twitch chat room messages during July 2019.
Participants:
None.
Results:
There was a significant increase in brand exposure on Twitch both in stream titles (sodas and candies, P < 0·05) and on streamer profiles (sodas, restaurants/food delivery services, candies, and energy drinks/coffees/teas, P < 0·05) over the 18-month study period. Energy drinks, coffees and teas had the most exposure with 1·08 billion exposure hours from profiles and 83 million exposure hours from titles. Restaurants/food delivery services and sugar-sweetened beverages were the most frequently mentioned products in chat rooms with 1·24 million messages and 1·10 million messages, respectively.
Conclusions:
This study is the first to demonstrate the extent by which food and beverage brands garner millions of hours of exposure on Twitch. Future studies should evaluate the impact that this level of exposure to nutrient-poor, energy-dense products may have on behavioural and health outcomes.
Recommend this
Email your librarian or administrator to recommend adding this to your organisation's collection.