45% of adults in the UK believe they encounter fake news every single day….
Fake news is big news right now. But what does it even mean and how big a deal is it? We’re going to take a look at fake news statistics, its impact and what measures we can take to ensure the news we read is accurate.
Click here to see the infographic.
What is “Fake News?”
Fake news is inaccurate information spread as “news” typically online. There’s an important difference between fake news and simply inaccurate reporting. Fake news implies that the misinformation is absolutely deliberate, whereas small reporting mistakes in the media are generally mistakes that are subsequently corrected by the media outlet later.
Fake News Statistics
So just how big a deal is it? Let’s take a look at some fake news statistics.
We ran a survey of 1,000 people in the UK to find out how often they believe they encounter fake news online.
In addition, we dove into Google Trends and search data to find out how popular a topic this is across the globe and analysed other data sources too.
Our key findings in summary:
- 45% of the British public believe they encounter fake news online every single day (data from our own Google Survey run from 12th to 14th July 2019)
- From 2015 to 2018, there was a 22% increase in IPSO rulings resulting in a declaration of a breach relating to the accuracy
- At its peak, there were around 200 million monthly engagements with fake news stories on Facebook
Click here to see the infographic.
Public Perception of Fake News
- 45% of UK adults believe they encounter fake news online every single day.
We used Google Surveys to ask 1,000 adults in the UK the following question.
“How often do you believe you encounter “fake news” online?”
Here’s how they responded.
- 45.43% believe they encounter fake news online every single day
- A further 19.64% believe they encounter fake news online at least once a week
- Just a fifth believe they never encounter fake news
In other words, the majority of the population believe they encounter fake news online regularly.
IPSO Complaints About Accuracy
Key findings:
- The number of complaints made to IPSO relating to accuracy almost doubled from 2016 to 2017 from 5,836 to 10,405
- The number of complaints relating to accuracy dropped again in 2018 to 2,150
- The number of complaints resulting in a breach being ruled peaked at 61 in 2018
IPSO publishes complaints made to it about newspapers and magazines it regulates. While inaccurate news isn’t always the same as fake news and isn’t generally deliberate, we assessed whether IPSO is identifying more breaches.
Here’s what we found:
Period |
Total Complaints Where “Accuracy” was a Part of the Complaint |
Total Number of Complaints Concerning Accuracy Resulting in IPSO Declaring a Breach |
Number of Complaints Concerning Accuracy Resulting in IPSO No Breach |
Jan to Dec 2015 |
3,915 |
50 |
161 |
Jan to Dec 2016 |
5,836 |
44 |
119 |
Jan to Dec 2017 |
10,405* |
49 |
142 |
Jan to Dec 2018 |
2,150 |
61 |
92 |
*Spike in complaints but over 6,000 of these complaints were rejected.
Other outcomes are possible (hence breach, no breach and breach do not add up to the total complaints. Other outcomes include the complaint being found to be outside of the remit of IPSO, not being pursued or being resolved through mediation. Full details of all complaints are available at https://www.ipso.co.uk/rulings-and-resolution-statements/complaints-statistics/#
Fake News Google Trends Data
Based on Google Trends data, which looks at the popularity of search terms, we can see the following “fake news” as a search query globally:
- The search term began to surge in popularity in November 2016
- It peaked in 2018
- Searches have been in decline globally since March March 2019 but it remains a query (as of July 2019) over 3 times as popular as it was in October 2016
If we look at the UK specifically, a similar pattern applies.
Within the UK, the query is particularly popular in:
- Portsmouth
- Oxford
- Cambridge
- Liverpool
- Cardiff
Search Volume at a City Level
We used kwfinder.com to pull data about the number of searches for “fake news” by city in the UK taking an average of the past 3 years to give a monthly search figure.
We then:
- Multiplied the figure by 12 to give an approximate annual figure
- Took population data for each city from the most recent Census
- Calculated the percentage of people making a search in each of those places based on an assumption that each search came from a different individual. While this may not be the case, using the same methodology for each city allows us to determine the town or city in which people are the likeliest to make a search for “Fake news.”
Our findings:
City/Town |
"Fake news" Searches/Month |
"Fake News" Searches Per Year |
Population |
% of People Making a Search (Assuming Searches Equally Divided) Each Year |
Oxford |
110 |
1320 |
159994 |
0.83% |
Cambridge |
70 |
840 |
145818 |
0.58% |
Bath |
40 |
480 |
94782 |
0.51% |
Manchester |
210 |
2520 |
510746 |
0.49% |
Belfast |
110 |
1320 |
280211 |
0.47% |
Exeter |
40 |
480 |
113507 |
0.42% |
Dundee |
50 |
600 |
147285 |
0.41% |
Newcastle upon Tyne |
90 |
1080 |
268064 |
0.40% |
Colchester |
40 |
480 |
119441 |
0.40% |
Slough |
50 |
600 |
155298 |
0.39% |
Edinburgh |
140 |
1680 |
459366 |
0.37% |
Brighton |
70 |
840 |
229700 |
0.37% |
Worcester |
30 |
360 |
100153 |
0.36% |
Lincoln |
30 |
360 |
100160 |
0.36% |
Leeds |
140 |
1680 |
474632 |
0.35% |
London |
2400 |
28800 |
8173941 |
0.35% |
Salford |
30 |
360 |
103886 |
0.35% |
Glasgow |
170 |
2040 |
590507 |
0.35% |
Rochdale |
30 |
360 |
107926 |
0.33% |
Cardiff |
90 |
1080 |
335145 |
0.32% |
Norwich |
50 |
600 |
186682 |
0.32% |
Bristol |
140 |
1680 |
535907 |
0.31% |
Bolton |
50 |
600 |
194189 |
0.31% |
Aberdeen |
50 |
600 |
195021 |
0.31% |
Leicester |
110 |
1320 |
443760 |
0.30% |
Peterborough |
40 |
480 |
161707 |
0.30% |
Huddersfield |
40 |
480 |
162949 |
0.29% |
Nottingham |
70 |
840 |
289301 |
0.29% |
Northampton |
50 |
600 |
215773 |
0.28% |
Coventry |
70 |
840 |
325949 |
0.26% |
Bournemouth |
40 |
480 |
187503 |
0.26% |
Plymouth |
50 |
600 |
234982 |
0.26% |
Sheffield |
110 |
1320 |
518090 |
0.25% |
Oldham |
20 |
240 |
96555 |
0.25% |
Liverpool |
110 |
1320 |
552267 |
0.24% |
Birmingham |
210 |
2520 |
1085810 |
0.23% |
Wigan |
20 |
240 |
103608 |
0.23% |
Crawley |
20 |
240 |
106943 |
0.22% |
Maidstone |
20 |
240 |
107627 |
0.22% |
Sutton Coldfield |
20 |
240 |
109015 |
0.22% |
Eastbourne |
20 |
240 |
109185 |
0.22% |
Reading |
40 |
480 |
218705 |
0.22% |
Warrington |
30 |
360 |
165456 |
0.22% |
Sunderland |
30 |
360 |
174286 |
0.21% |
Cheltenham |
20 |
240 |
116447 |
0.21% |
Portsmouth |
40 |
480 |
238137 |
0.20% |
Gateshead |
20 |
240 |
120046 |
0.20% |
Swindon |
30 |
360 |
182441 |
0.20% |
Solihull |
20 |
240 |
123187 |
0.19% |
Southampton |
40 |
480 |
253651 |
0.19% |
Derby |
40 |
480 |
255394 |
0.19% |
Wolverhampton |
40 |
480 |
265178 |
0.18% |
Sale |
20 |
240 |
134022 |
0.18% |
Telford |
20 |
240 |
142723 |
0.17% |
Birkenhead |
20 |
240 |
142968 |
0.17% |
Ipswich |
20 |
240 |
144957 |
0.17% |
Poole |
20 |
240 |
154718 |
0.16% |
Bradford |
40 |
480 |
349561 |
0.14% |
Southend-on-Sea |
20 |
240 |
175547 |
0.14% |
Stoke-on-Trent |
30 |
360 |
270726 |
0.13% |
Kingston upon Hull |
30 |
360 |
284321 |
0.13% |
St. Helens |
10 |
120 |
102885 |
0.12% |
Woking |
10 |
120 |
105367 |
0.11% |
Luton |
20 |
240 |
211228 |
0.11% |
Stockport |
10 |
120 |
105878 |
0.11% |
Basildon |
10 |
120 |
107123 |
0.11% |
Basingstoke |
10 |
120 |
107355 |
0.11% |
Worthing |
10 |
120 |
109120 |
0.11% |
Rotherham |
10 |
120 |
109691 |
0.11% |
Doncaster |
10 |
120 |
109805 |
0.11% |
Chelmsford |
10 |
120 |
110507 |
0.11% |
Blackburn |
10 |
120 |
117963 |
0.10% |
High Wycombe |
10 |
120 |
120256 |
0.10% |
Newport (Wales) |
10 |
120 |
128060 |
0.09% |
Watford |
10 |
120 |
131982 |
0.09% |
Gloucester |
10 |
120 |
136362 |
0.09% |
Blackpool |
10 |
120 |
147,663 |
0.08% |
Milton Keynes |
10 |
120 |
171750 |
0.07% |
Middlesbrough |
10 |
120 |
174700 |
0.07% |
Swansea |
10 |
120 |
179485 |
0.07% |
In short, our findings imply that the cities where people are most likely to be making this search are (in order):
- Oxford
- Cambridge
- Bath
- Manchester
- Belfast
Facebook and Fake News Statistics
Facebook has repeatedly found itself under pressure to do more to eradicate fake news peddling on its platform. And indeed, Facebook is where millions of interactions on fake news stories take place.
In fact, in the final 3 months of the 2016 US Presidential Campaign, (August 2016 up to election day), fake news stories got more interaction on Facebook than mainstream media stories did.
The research from Buzzfeed suggests the following:
But engagement with fake news is falling on Facebook and fake accounts are being tackled.
- In Q1 of 2018, Facebook removed 837 million pieces of spam (Source)
- In Q1 2018, Facebook also removed 583 million fake accounts (source)
- In 2016, known fake news content was getting around 200 million engagements on Facebook each month (source)
- As of September 2018, this is down to around 70 million engagements each month (Source)
Fake News in Summary
So the statistics do suggest a surge in interest in fake news from 2016, with a continued interest in the topic and still plenty of engagement on social platforms with known fake news content.
But with social media networks taking more action and consumers of content increasingly aware of fake news, we’re starting to see engagement fall.
That said, the majority of Brits still believe they encounter fake news at least weekly, with almost half declaring they feel they see such “news” every single day.
So there remains a long way to go to tackle the issue of fake news.