Technology
Visualizing the Length of the Fine Print, for 14 Popular Apps
Terms of Service: The Length of Common Digital Contracts
Do you take the time to read the terms of service before you agree to when downloading the latest app or software?
Of course you do…
The world is awash with apps and internet services that ask potential users to agree to a service agreement. Most people click on ‘agree’ and move on, knowing that reading the service agreements could put them to sleep and defer their favorite internet fix.
Taking inspiration from designer Dima Yarovinsky’s project titled I Agree, today’s post visualizes the length of service agreements, by counting the words and calculating how long it would take users to read each one.
Ain’t Nobody Got Time for That
The average reading speed of most adults is 200 to 250 words per minute (wpm). College students, probably because they are very studious and not skimming, move that pace up to around 300 words per minute. For the sake of this analysis, we calculated reading times based on 240 wpm.
App/Service | Word Count | How many minutes to read? (240 wpm) |
---|---|---|
Microsoft | 15,260 | 63.5 |
Spotify | 8,600 | 35.8 |
Niantic (Pokemon Go) | 8,466 | 35.2 |
TikTok | 7,459 | 31.4 |
Apple (Media Services) | 7,314 | 30.5 |
Zoom | 6,891 | 28.7 |
Tinder | 6,215 | 25.9 |
Slack | 5,782 | 24.1 |
Uber | 5,658 | 23.6 |
5,633 | 23.5 | |
Bumble | 5,442 | 22.7 |
Snapchat | 4,935 | 20.6 |
4,346 | 18.1 | |
4,132 | 17.2 | |
3,459 | 14.4 | |
Amazon | 3,416 | 14.2 |
YouTube | 3,308 | 13.7 |
3,267 | 13.6 | |
Dropbox | 2,704 | 11.3 |
Netflix | 2,628 | 11.0 |
2,451 | 9.7 |
The service agreement for Microsoft stands out at the top of the list with an agreement that would take over an hour to read — a bit less time than it would take to read Shakespeare’s Macbeth. To be fair, this service agreement does seem to cover the company’s entire suite of products.
These agreements are an insight into the legal mumbo jumbo that exists when it comes to regulating the use of these apps. There are a multitude of agreements that go even further into depth about what rules govern developers, online cash transactions and much more. The average American would need to set aside almost 250 hours to properly read all the digital contracts they accept while using online services.
Regardless, users may feel like they are wasting time reviewing a contract that can neither change or refuse—or more vitally, even comprehend.
Not All Text is Equal: The Flesch Reading-Ease Test
Apparently dealing with some of his own textual frustration, a Dr. Rudolf Flesch observed that some text, in particular legal language, appeared to be written to make reading as difficult as humanly possible.
Long sentences filled with arcane words can drag out simple sentences and discourage comprehension. Flesch wanted to measure the variability in reading comprehension — and by studying different kinds of writing, he developed a formula to determine readability and forever scorn lawyers.
In the Flesch Reading-Ease test, higher scores indicate material that is easier to read. Lower numbers mark passages that are more difficult to read. The formula for the Flesch Reading-Ease Score (FRES) test is:
The readability score uses two metrics:
- The numbers of words per sentence
- The number of syllables per word
Based on this score, a text would correspond to a particular education level.
Score | Grade | Avg. Words per sentence | Syllables per 100 words |
---|---|---|---|
100-90 | 5th grade | 8 | 123 |
90.0-80.0 | 6th grade | 11 | 131 |
90.0-70.0 | 7th grade | 14 | 139 |
70.0-60.0 | 8th and 9th grade | 17 | 147 |
60.0-50.0 | 10 to 12th grade | 21 | 155 |
50.0-30.0 | College | 25 | 167 |
30.0-0.0 | College graduate | 29 | 192 |
So how do the service agreements in our sample rank in terms of the Flesch Reading-Ease test?
App/Service | Flesch Reading Ease Score | Equivalent Grade Level |
---|---|---|
56 | 10 to 12th grade | |
56 | 10 to 12th grade | |
54 | 10 to 12th grade | |
54 | 10 to 12th grade | |
Microsoft | 54 | 10 to 12th grade |
Snapchat | 54 | 10 to 12th grade |
Dropbox | 51 | 10 to 12th grade |
Bumble | 50 | College level |
YouTube | 50 | College level |
48 | College level | |
Apple Media Services | 47 | College level |
Tinder | 46 | College level |
Amazon | 45 | College level |
Netflix | 45 | College level |
TikTok | 44 | College level |
Spotify | 44 | College level |
Zoom | 42 | College level |
Uber | 40 | College level |
39 | College level | |
Niantic (Pokemon Go) | 39 | College level |
Slack | 36 | College level |
While not the most difficult to read, they definitely include a fair amount of legalese that helps discourage reading. The length and the difficulty of reading these agreements makes them practically useless to the average person.
This is a problem because it undermines basic concepts of contracts and informed consent. Users are giving up their rights without their knowledge.
Terms of Service: You Are the Product
These apps and software are the forefront of the data collection for a multi-billion dollar industry.
Individual user activity and information get easily collected and stored, creating databases of user patterns. This type of behavioral information makes marketers salivate, allowing them target their products to their ideal audience at lower costs than traditional advertising.
Do you know what you have agreed to?
Technology
Charted: The Jobs Most Impacted by AI
We visualized the results of an analysis by the World Economic Forum, which uncovered the jobs most impacted by AI.
Charted: The Jobs Most Impacted by AI
This was originally posted on our Voronoi app. Download the app for free on iOS or Android and discover incredible data-driven charts from a variety of trusted sources.
Large language models (LLMs) and other generative AI tools haven’t been around for very long, but they’re expected to have far-reaching impacts on the way people do their jobs. With this in mind, researchers have already begun studying the potential impacts of this transformative technology.
In this graphic, we’ve visualized the results of a World Economic Forum report, which estimated how different job departments will be exposed to AI disruption.
Data and Methodology
To identify the job departments most impacted by AI, researchers assessed over 19,000 occupational tasks (e.g. reading documents) to determine if they relied on language. If a task was deemed language-based, it was then determined how much human involvement was needed to complete that task.
With this analysis, researchers were then able to estimate how AI would impact different occupational groups.
Department | Large impact (%) | Small impact (%) | No impact (%) |
---|---|---|---|
IT | 73 | 26 | 1 |
Finance | 70 | 21 | 9 |
Customer Sales | 67 | 16 | 17 |
Operations | 65 | 18 | 17 |
HR | 57 | 41 | 2 |
Marketing | 56 | 41 | 3 |
Legal | 46 | 50 | 4 |
Supply Chain | 43 | 18 | 39 |
In our graphic, large impact refers to tasks that will be fully automated or significantly altered by AI technologies. Small impact refers to tasks that have a lesser potential for disruption.
Where AI will make the biggest impact
Jobs in information technology (IT) and finance have the highest share of tasks expected to be largely impacted by AI.
Within IT, tasks that are expected to be automated include software quality assurance and customer support. On the finance side, researchers believe that AI could be significantly useful for bookkeeping, accounting, and auditing.
Still interested in AI? Check out this graphic which ranked the most commonly used AI tools in 2023.
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