Needless to say I didn't finish reading the article.
Needless to say I didn't finish reading the article.
False positives are generally curated accounts, corporate accounts, and government accounts (which are really bots with their software in managerial documents); porn accounts; and people who reblog the news but don't really "use" twitter.
There are multiple people in this thread that have been incorrectly tagged as bots, I’d like to see proper tests done with the software identifying the level of accuracy. It shouldn’t be too much to ask since their entire study is hinged on the accuracy of this software.
Just the other day a prominent dutch account got auto-blocked on twitter for saying 'Die Rutte toch.', where 'Die' (a pretty common dutch word, which in this case translates as 'That') was mistaken for a threat to our prime minister.
Along with this, there is the pre-emptive and dogmatic assertion without proof or serious argument that any disagreement with official dogma must necessary be deliberate 'disinformation' spread by those with an immoral vested interest in spreading falsehood.
Yes, that is as much as we can deduce from the data presented in the paper, given that they apparently just took the 'Botometer' verdicts at face value without taking the extra steps to see if they were indeed accurate. It may, of course, be absolutely true that the 'denier' accounts are just scripts, but further investigation is necessary to establish this.
> I wonder what else makes you more likely to be characterized as a bot?
That would best be established by examining the bot-detector's algorithm. Another commenter on this thread noted that he received a high rating based on the fact that he rarely logged into his account.
The result is that in 2021 people tell me things that influence their opinions that are either misleading, out of date or absolutely false. We’re talking things like climategate or that volcanoes give off more co2 than all of human civilization.
I’m just a regular person, I don’t believe in climate change, I’ve researched it, it’s something I’m concerned about. A million dollar PR campaign against me and my friends, family and coworkers is not something anyone can standup against.
The dogma that you perceive comes from people reacting to dissatisfaction from an important issue that isn’t being taken seriously. We are citizens, regular people, against what amounts to artificial intelligences that are maximizing the number of paper clips they produce. David and Goliath doesn’t come close to the situation we’re up against.
So I genuinely wonder how people can look into it and not look at the absorption spectra of CO2 go ahh I see and then move on. I mean such a calculation isn’t enough for policy changes or anything, but it’s putting a high hurdle on the other side.
Is it some disagreement about the physics involved, or just a bunch of people you believe saying something different, or what?
Similarly, if hypothetically increased global temperature results in increased cloud formation that reduces the impact of climate change that presupposes some increase in temperature otherwise the change in cloud formation doesn’t happen. As such it’s reasonable to argue about the magnitude of change but not the direction of change.
I can clearly see arguing about a specific location bucking global trends because there complexity actually plays a direct role, thus the term climate change. But, globally I can’t see how everywhere on average would buck these trends.
Push a complex system too far and it will not come back. The popular belief that uncertainty undermines the case for taking seriously the "climate crisis" that scientists tell us we face is the opposite of the truth. Properly understood, as driving the case for precaution, uncertainty radically underscores that case, and may even constitute it.
You may have great social circles with intelligent and curious people, but in my life the facts don’t work because the facts don’t matter. The number of people actually interested in the science and not just the science (tm) is dismally low, we’re talking less than 10% in my experience. This includes people who have degrees in physics and engineering and a university engineering professor I knew.
People are hungry, vulnerable, emotional, scared, and prideful creatures. That’s what we are; and we like stories. We like stories where we’re hero’s on an epic journey with villains to defeat.
If you tell someone a fact that breaks their story, makes them scared, and makes them less prideful, you’re not having a conversation for very long, doesn’t matter if you can support it with evidence and reasoning. What PR added on top of this human tendency is people think about climate way more than they otherwise would, they think about it in terms of a story, in us vs. them terms (PRs narrative), and if you say something counter to that narrative, now you’re the villain.
I’ve had people I respect flat out tell me that climate change is a hoax and if we reduced carbon emissions it would just be virtue signaling. They are not joking, they are serious and they’ve been told this by talking heads for over 20 years.
You’ll never get to the back of the envelope calculation.
I have problems with articles on both sides of the issue using all kinds of speculation and innuendo to try and discredit the opposite side. I would rather just read articles that cover studies explaining results (data) and methods used to support their position.
As an aside, for those interested, the GitHub page for the tool's Python API (https://github.com/IUNetSci/botometer-python) lists relevant papers regarding the functioning/design of the tool.
Kind of annoyed that Botometer requires me to authorize it to access my Twitter account, when all my tweets are public (and who cares about bots that make private tweets, if that's even a thing). Bot Sentinel didn't require this.
NB: not affiliated with Bot Sentinel
Interestingly it identified my sister in law as a bot, but looking at her account, I'd assume the same. Anyone else I checked seemed accurate as well.
Same things with BotSentinel - it's just garbage.
- it's 50/50 accurate picking actual bots I know I follow
- the more simple the reading level, the higher it scored
- however, extremely heady accounts also score high
- the farther right/left the account goes seems to up the score a little
- accounts that quote authors frequently score very high, even if they're human behind them
- everything from Chinese state media scored higher than anything
- everything that was frequently highly critical of China scored extremely high
- most Trumpers and Antifa I follow had very low scores (but most are high-up/origin accounts)
- most news organizations from both sides scored middle range, including known propagandists and "reputable" organizations
- accounts from both sides of the COVID discussion were mostly low
Hard to say, but my best guess is "low effort" is the defining factor. Only exception is the pro/anti-Chinese stuff, which is definitely a mix of real people and bots.
I keep pretty good tabs on the accounts I follow and I think I'm pretty good at determining who is "a real person with real feelings saying real things they really think" and bots, and from this analysis, I have zero faith that this tool has any modicum of reliability in a research setting.
I think it's possibly accurate enough to say "yes, this is definitely a human", but totally fails to identify bots. Thus, any research that uses this tool as a measure of bot influence is way off, because there are way too many false positives. Which I guess is a good thing for anyone who wants to say, "look at all these people being suckered by all these bots!" which is pretty unscrupulous.
YMMV