2020 was a year no one predicted, COVID-19 was a catalyst, not an outcome. In this social media trends 2021 report, you will know more about 2021 trends as defined by the experts, and the audiences.
There are ten trends mention in the report and they’re ranked from what consumers think will be the least impactful to the most impactful.
Even though user-generated content is nothing new, however, the way it has been sourced, created, and shared is contemporary. Remixing is on the rise through apps such as TikTok, Instagram Reels, and Koji.
What’s the definition of remixing? It is the art of taking existing formats, templates, or even ideas, then recreating them to express a user’s own personality or ideas.
According to the social media trends 2021 report, it is expected that 2021 will bring more opportunities to remixing, as brands engage with new audiences and creating additional content that stands out from the crowd.
The following chart shows the trend analysis and the mentions over time;
Obviously, social media has always blurred the lines between fact and fiction from the highly edited lives of some Instagrammers, to Twitter parody accounts.
Not only that but the COVID-19 crisis has brought the issue of disinformation to the lead. Hence, expect 2021 to be the year brands along with social media channels focus on highlighting the truth along with quieting”fake news”.
From February 2020 onwards, mentions of fake news, misinformation, besides conspiracy theories increased dramatically.
Make sure to check the full social media trends 2021 here.
insights were taken from Talkwalker Analytics and Talkwalker Quick Search for the last 13 months, prior to August 14, 2020. Mentions of topics were gathered from a variety of media including news sites, social media channels, blogs, and forums. Sentiment analysis, video analytics & image recognition are powered by the Talkwalker AI Engine. Sentiment analysis is performed with an average of 90% accuracy, with the ability to detect sarcasm and ironic comments. Images are compared to a database of over 30,000 brand logos, to help identify brands in social media photos and videos. Queries were used to identify the topics discussed. In some cases, these may have been improved using Boolean operators, to help remove false positives.