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As of July 2020, TikTok has about 80-100 million users in the US as reports do vary on this. TikTok users are also ‘growing up’ according to Adweek as older American users have started using the platform. According to AdWeek, the percentage of U.S.-based TikTok users age 18-24 fell from 41.1% in January to 35.3% in April. During that same time, the 25- to 34-year-old users rose from 22.4% to 27.4%, and users 35-44 grew from 13.9% to 17.1%. TikTok users have been vocal about their views about it being banned. Social media opinion (on Twitter and TikTok) are probably the best proxies we have for quickly assessing what everyday users as well as influencers think about the ban. First of all, it is clear that a of vocal number of TikTok users think the ban is partially (or even fully) in retaliation for how some influencers have been making fun of President Trump on the platform. Many tweets single out the viral TikTok influencer Sarah Cooper who has become famous worldwide for lip-synced parodies of President Trump as the reason for the ban. There has been a backlash on Twitter whereby users are saying because Trump thinks  Sarah Cooper is ‘mean’, he is banning TikTok to stop ‘mean girls’.

Many TikTok users have been deeply frustrated by the ban as the platform has become extremely important to their everyday self-expression. There are many post by users documenting how they never thought the videos would be watched by anyone, but they actually became extremely popular content creators. Others have made clear TikTok has been critical to their political activism, such as BlackLivesMatter; in my own work, I have been studying TikTok posts posted live from BlackLivesMatter protests. Ultimately, we need to also remember that TikTok, like YouTube, enables content creators to make money from the platform. And there are many whose majority income is from TikTok. These users are perhaps the most worried as their livelihoods are literally at state. They are the ones of the live streaming and trying to migrate followers to Instagram and YouTube to protect their incomes. Everyday users are clearly upset, but as many users are from younger demographics are already used to migrating from on social media platform to the other. Instagram’s reels product could be where a migration to occurs.

Banning Tik Tok is a data privacy issue, but is, of course, a deeply political decision as well. Data privacy is an important issue and there has been increased awareness in the US of the use of our data in unintended ways after Cambridge Analytica and the Zuckerberg public hearings. Asking a Chinese company to divest from a company collecting US personal data is not unusual in the US. But, the ban on TikTok is of course more than a data privacy argument. It is clearly political and part of the technology wars between the US and China that are bundled with the new Cold War between the countries. There is a geopolitical line between embassy closures and TikTok being banned. TikTok could be allowed to quietly divest from ByteDance TikTok’s parent company to a US company but this ban has clearly not been quiet. Indeed, Microsoft’s interest in TikTok  could have been approved by President Trump early on if data privacy was the central issue at play here. However, US media is  widely reporting that talks between Microsoft and ByteDance, TikTok’s parent company have been stalled as President Trump has said he won’t allow the acquisition.

I wanted to see how the strike actions are doing in terms of online Twitter activity. The data comes from all #fairpayinhe tweets from 6th – 10th February (which covers a one day and two hour strike). 2436 tweets make up the graph below:

fairpayinhe graphAnd here is some basic statistics on what is in the tweets:

Top URLs in Tweet in Entire Graph Entire Graph Count
http://www.unison.org.uk/news/higher-education-members-strike-for-fair-pay 68
http://fairpay.web.ucu.org.uk/2014/02/07/he-two-hour-strike-10-february-2014/ 37
http://union-news.co.uk/2014/02/dock-us-days-pay-two-hour-strike-well-strike-day/ 26
http://fairpay.web.ucu.org.uk/2014/02/04/a-new-briefing-on-the-he-dispute-for-students/#.Uvih0KYFG7A.twitter 22
http://fairpay.web.ucu.org.uk/2014/02/04/a-new-briefing-on-the-he-dispute-for-students/#.UviW3Yg9oCp.twitter 22
http://storify.com/ucu/what-is-a-university 19
http://fairpay.web.ucu.org.uk/2014/02/04/a-new-briefing-on-the-he-dispute-for-students/#.UviUC2ic1Mk.twitter 18
http://storify.com/counterfireorg/he-strike-6-feb-fairpayinhe?utm_content=storify-pingback&utm_source=direct-sfy.co&utm_medium=sfy.co-twitter&utm_campaign=&awesm=sfy.co_gbVm 18
http://fairpay.web.ucu.org.uk/2014/02/05/live-6-february-he-strike-action/ 17
http://www.fairpayinhe.org.uk/whos-signed/ 17

 

Top Hashtags in Tweet in Entire Graph Entire Graph Count
fairpayinHE 1811
fairpayinhe 208
tubestrike 146
ucu 101
UCU 97
FairPayinHE 70
FairPayInHE 61
solidarity 52
Unite 51
EIS 43

 

Top Words in Tweet in Entire Graph Entire Graph Count
rt 1860
fairpayinhe 1717
ucu 1042
strike 865
pay 439
today 322
picket 265
students 261
solidarity 246
more 244

 

Top @ Mentioned in Entire Graph Entire Graph Count
ucu 727
unisoninhe 154
unisontweets 147
[Anonymized for privacy] A writer 138
unitetheunion 85
ucuscotland 69
[Anonymized for privacy] A lecturer 43
[Anonymized for privacy] A socialist feminist 38
ucummoss 38
leedsucu 37

 

Top Hashtags in Tweet in Entire Graph Entire Graph Count
fairpayinHE 1811
fairpayinhe 208
tubestrike 146
ucu 101
UCU 97
FairPayinHE 70
FairPayInHE 61
solidarity 52
Unite 51
EIS 43

I have been avidly watching election-related tweets yesterday and today. In both my classes today, I included discussions of tweets which either mentioned Obama, Romney, #election2012, and #election2012 America. The latter was particularly useful in highlighting tweets from non-American tweeters. Supporting the idea that Twitter functions like a diary or chronicle of one’s daily life are tweets which inclue “I just voted”, “just voted”, or “on my way to vote”.

Some interesting tweets which emerged from both my searching and that by students are:

  • NBC confirms a voting machine malfunctioning, changing votes for Obama to Romney in Pennsylvania http://soup.ps/RDBbH1

[Unsurprisingly, tweets recirculating news stories have been extremely popular today. Engagement by the public with news or even with campaigns via social media is noted as significant by Himelboim (2012)]

  •  if Obama loses because y’all dumbass are posting your ballots on social networks, your ass shouldn’t have the privileges to vote!

[The interesting trend of voters using their smart phones to take pictures of their ballots and post them on social media supports arguments in the literature which discuss how ubiquitous computing makes it possible for us to increasingly publish things which are normally very much in our private sphere. Instagramming one’s ballot seems particularly popular!]

  •  ⬜ Romney ⬜ Obama ✔ Glitter, Victoria’s Secret, and tiaras.

[The ‘third option’ genre of tweets has been used frequently within the #election2012 hash tag]

  •  I’ve been praying all day for a #Romney victory

[Tweets in the hash tags provide empirical support that the religious right is actively engaged within Twitter. This supports findings in the literature of the conservative movement’s use of digital media technologies (Bennett 2012)]

[Interestingly, Paul McCartney’s tweet was the most retweeted #election2012 tweet at one point today (#beatles #ukinvasion) ;)]

  • Whether you vote Republican, Democrat or 3rd Party, you should still celebrate with @(name of brand) #America #election2012

[Unsurprisingly, lots of businesses, brands, and bands are using the #election2012 hash tag for promotion purposes. The use of hash tag manipulation is discussed by Page (2012)]

 References:

1.            Page, R., The linguistics of self-branding and micro-celebrity in Twitter: The role of hashtags. Discourse & Communication, 2012. 6(2): p. 181-201.

2.            Bennett, W.L., The Personalization of Politics: Political Identity, Social Media, and Changing Patterns of Participation. The ANNALS of the American Academy of Political and Social Science, 2012. 644(1): p. 20-39.

3.            Himelboim, I., et al., Social Media and Online Political Communication: The Role of Interpersonal Informational Trust and Openness. Journal of Broadcasting & Electronic Media, 2012. 56(1): p. 92-115.

While I was writing my book about Twitter (Twitter: Social Communication in the Twitter Age), I took an interest in tracking the US Republican primary as it was being constructed within Twitter. Last year, I started collecting all geo-located tweets  (tweets with location information turned on) for the 50 most populous urban American cities (according to U.S. Census statistics ). Because of the geographical richness of this data set, I thought it would be a perfect source to use to study twitter activity surrounding the US Republican primary. Working with  Alexander Gross and Stephanie Bond, I designed and developed a tool to visualize this specific geographically-anchored landscape.

The 2012 US presidential election provided another opportunity to leverage this data. Twitter has been extremely active in terms of election-related discourse. Our Election 2012 Twitter Visualization Tool uses emergent big data research methodologies to visualize the election. The visualization tool has been optimized for the Safari browser (and is known to have some issues in other browsers).

The goal of our research is to explore urban American responses to the 2012 presidential candidates on Twitter. In order to create a representative sample of tweets from urban centers in the United States, we collected tweets from Twitter by location. We took the 50 most populous American cities according to the U.S. Census and instructed Twitter to send us tweets that were within 7-12km of the locations of these cities.

Our software collects these geo-located tweets and uses the data to chart the relative buzz surrounding candidates in the 2012 presidential election. The tool charts the relative popularity of each primary candidate as measured by the number of tweets which we have collected over the last 24 hours and identified with a particular candidate. For a tweet to be counted as referring to a particular candidate, the tweet must contain the candidate’s first and last name separated by a space e.g. “Mitt Romney” or the candidate’s official campaign twitter account name or the account name eg @mittromney. A single mention as reported by the chart’s dynamic legend is equivalent to one tweet which contains one of the candidate names. Tweets which contain more than one candidate name will be counted as mentions for both candidates. These stringent rules prevent unecessary possible over counting of tweets for a candidate. Though the frequency of the tweet count in our visualization is low because of this, the data collected is very robust. Specifically, all tweets visualized do refer to Obama or Romney.

Please visit the tool’s webpage at my lab, the Social Network Innovation Lab, for more detailed information.