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As the presence of hate words does not guarantee that the text is hateful, we utilize the Perspective API, a family of models used for detecting toxic content,
by HopenHeyHi 3y ago
As the presence of hate words does not guarantee that the text is hateful, we utilize the Perspective API, a family of models used for detecting toxic content, to further filter our data
Yeah. Running a random list of words you don't like through a blackbox is some garbage-in garbage-out voodoo. It hardly matters what random words bots were able to generate on Twitter, what might matter is how many humans actually saw and interacted with any of it.
The spike in March, 2022 coincides with the Canada convoy protests.
Proceeds to show literally the opposite. There is no measurable permanent spike of anything at all in their own graph!
These sort of "studies" will hurt the credibility of researches longer term.
- maxbond 3y agoI think you misread the chart? > While baseline tweets remain stable throughout the year (with an exception in early 2022 coinciding with the Canada convoy protests (Soucy 2022)), hateful tweets increase dramatically following Musk’s takeover. So the claim is that total tweets increase in early 2022. Total tweets in Figure 2 is the top orange line. There's a noticable spike approximately in April and another one around August. (That's going by my faulty eyes, so their claim that it's in March makes sense to me.) Was that caused by the trucker protests? No idea. But there are lots of interesting looking spikes in this chart.
- HopenHeyHi 3y agoI think the chart is either extremely poorly made or intentionally misleading? > There's a noticable spike approximately in April and another one around August > Was that caused by the trucker protests? No idea. But there are lots of interesting looking spikes in this chart. Precisely. They simply marked two occasions they don't like. Might as well correlate with mercury being in retrograde. What is the baseline? The mean? The year over year? Look at the numbers about 100+-50 "bad" tweets on a given month.. this isn't a serious effort, I am embarrassed on their behalf.
- maxbond 3y agoI think you're misunderstanding the claim about the trucker convoy. They just said more people started tweeting around then. The chart seems reasonably clear to me. They define baseline pretty clearly. > To ensure fluctuations in hate speech are not reflective of fluctuations in overall user activity, we also sample a base- line set of tweets collected during the same time intervals. We used the keyword “thing,” taken from a set of the most commonly used words (Geoffrey Leech 2001).
- HopenHeyHi 3y ago> I think you're misunderstanding the claim about the trucker convoy. They just said more people started tweeting around then. OK. Why? A lot of things happened around then. Why mention the trucker convoy specifically? > They define baseline pretty clearly. How would a chart look like zoomed out to multiple years?
- maxbond 3y ago> OK. Why? A lot of things happened around then. Why mention the trucker convoy specifically? Presumably they believed it was the correct explanation for the anomaly in the chart? > How would a chart look like zoomed out to multiple years? That's an interesting question but it isn't the one this paper is written about, which is a specific event. May I ask if you're seeking to understand this paper or to criticize it? Because it kinda feels like when your objections were addressed you came up with some more of them?
- HopenHeyHi 3y ago> Presumably they believed it was the correct explanation for the anomaly in the chart? On what basis? How is it not an arbitrary event? There is absolutely nothing else in the paper about this event. > May I ask if you're seeking to understand this paper or to criticize it? Because it kinda feels like when your objections were addressed you came up with some more of them? Is that not what you're supposed to do with papers? Is this a study or marching orders?