• 3 Posts
  • 95 Comments
Joined 1 year ago
cake
Cake day: May 31st, 2023

help-circle


  • There seem to be three categories for how podcasts deal with ad spots.

    Some podcasts mark their ads inline by using Chapter Markers. For example, ATP marks its ads by putting them in a new chapter with a name like “Ad: X”. In theory, you could have a player that skips any chapter who’s name begins with "Ad: ", though I don’t know of any existing apps that do that. Unfortunately, the number of podcasts using chapter markers seems to be a small portion of the podcasts I listen to, so this wouldn’t be very useful.

    Another method that could work on some podcasts that don’t use chapter markers is identifying a delineating tone. Using ATP as an example again, every ad spot starts with the same jingle, and ends with the same jingle. In theory, an app could skip the delineated sections. Mind you, this would require work from the user to set up (or it could be crowdsourced): you would have to tell the app what specific sound snippet delineates the ad read. Luckily, many podcasts seem to be structured in this way, with a clear audio cue to delineate ad spots.

    Then, you have really free-form podcasts where the hosts may just say, in everyday speech, something like “time for ads”, and the ads will insert. Sometimes it’s always the same phrase (e.g., the use of the phrase “the money zone” on MBMBAM), but that’s not always the case (e.g., there is seemingly no consistent verbiage in the Aunty Donna Podcast). This category is the most difficult to deal with.

    In summary, I don’t know of any existing apps that enable skipping ads for any of these three categories. Of the three categories, one is very easy to implement, one less easy, and one quite difficult. All potential solutions would require a shared/crowd-sourced database of which category each podcast falls into, at the least.





  • I suspect that the way they came to that conclusion was: any post mentioning one of those groups, that also had a negative sentiment rating, meant that sentiment was directed at that group. Which is horribly dishonest. What’s more likely is someone to be angry (which registers as negative sentiment) about those groups being mistreated or what have you. By the naive approach they seem to have taken, that’s indistinguishable from being mad at that group.

    Also, the methodology they describe, and the conclusions they come to don’t align. They don’t describe any methodology by which they could determine that the identities are being attacked. It would be like if they concluded some cause-and-effect relationship but their methodology had absolutely no way of establishing a causal relationship in the data.





  • Reading the responses there is sickening. No humanity. Everyone is making fun of them, saying its deserved, saying its efficient or smart, saying they’re being “treated like royalty”, calling immigrants “boat people”, calling them rapists, suggesting to sink it.

    I don’t understand how people are so evil. The people doing this are evil, but they’re profiting and maintaining power because of these actions; the people going out of their way to voice support are getting nothing out of it except perverse joy. Absolutely disgusting.




  • There is no legal distinction.

    Using legality as a gauge for morality is not always the best thing to do, especially when these are law enforcement agencies operating entirely within the law.

    no where are barbwire or “razorwire” considered a “booby trap.”

    So you’re being wilfully obtuse. Nowhere was anyone implying the use of barbed wire is what makes it a booby trap. Every single time it was mentioned, it was clear: it is a booby trap because it is a purposefully hidden device meant to cause harm to those who stumble upon it by accident.

    It also does matter the distinction between razor wire and barbed wire. Barbed wire you can hold in your hand. You can grip it, move your hand along it, and indeed are unlikely to be very harmed by encountering it; it is designed as an unpleasant deterrant, not a dangerous one. Razorwire, on the other hand, is designed to cause harm: every part of it is dangerous, and an encounter with it would result in deep lacerations.

    But again, it could be barbed wire and my point would stand: the concealment of it is what makes it a booby trap, and what makes it a problem.



  • Oh good god. I had given them the benefit of the doubt and assumed there was no way an actual professor would be any of the names on it. I figured such poor work could only be explained by being ignorant undergrads. I genuinely would question their previous work if they are comfortable publishing this garbage.

    This is downright shameful. I’d be embarassed to be a student of these profs, or of the department.

    Now I’m genuinely curious if they embezzled some of the NSF money, or are otherwise being paid for this? I extremely rarely take up the whole “paid shill” angle, because frankly it’s almost never the case, but how in the everloving shit would these people produce and publish such trash and not feel embarassed?


  • but I wonder whether some form of dehumidification specifically, rather than just cooling, could also aid survival?

    The issue is that in general, dehumidification is energy intensive, just as cooling is. In fact, one of the best ways to dehumidify air is to cool it down. Other non-mechanical solutions, like chemical solutions (e.g., dry hygroscopic material with large surface area) don’t have an energy cost during their use, but they have an energy cost in their production and renewal. For example, to dry the hygroscopic material back out to recycle it and re-use it, you must supply a lot of heat energy.

    I would be interested in an energy consumption comparison though, between: cooling air to keep it under the red area of the curve; dehumidifying air to keep it under the red area of the curve; and some combination of the two (as most air conditioning units do). It may be the case that dehumidifying is less energy intensive.




  • As someone who did some natural language processing research in undergrad, they obviously have no idea what they’re doing. To get meaningful data you need[1] to remove words such as “the”, “is”, “it”, etc. And that’s not the only normalization you need to do.

    What’s offensive for something claiming to be an academic paper is their lack of explanation of their data processing techniques. Meaningful conclusions can only be made if your data is reasonable. And to make sure you have meaningful data, especially when the source is extremely noisy human-generated online comments, you need to do several things to process your data before you can feed it into an analysis. The goal of publishing academic research is not only to publish a result, but to publish methodology to enable independent reproducibility: if you have the paper, and the data, you should be able to follow the methods and come to the same conclusions; if you can’t, the paper’s bad. Yes, these details are boring, and a lot of people will put them in an appendix instead of in the main body of the paper, but if you’re being honest you do provide these details.

    They also don’t even pretend to be objective; the paper reads more like a speculative opinion piece on sociology than it does a “data-driven” paper. Their assumptions drive their analysis and thus their conclusions. Moreover, when they attempt to make the distinction between TOXICITY and SEVERE_TOXICITY, they are not making these objective categories: the definitions they give are pure air and the distinction between the two categories is purely subjective.

    It’s honestly an embarassment; I wouldn’t want my name on a paper of such poor quality. I wouldn’t want my university to be named on a paper of such poor quality (nor would I think the university would want themselves to be named on such a paper).

    Either these are genuinely ignorant undergrads who don’t realize that they’re producing wildly questionable and meaningless “research”, or they’re dishonest grifters taking federal taxpayer money[2] and producing garbage.

    Being published in ArXiv is not automatically a bad thing; but it makes me wonder if they were rejected from peer-reviewed journals. There’s no argument that they didn’t want to or were unable to spend money to submit to a “real” journal since they are receiving outside funding.


    1. Stopwords aren’t totally useless at early stages in the pipeline or depending on what you’re doing. For example, being grammatical terms they can help get a proper parse tree. But this type of analysis, sentiment analysis, is not using a full parse tree and the leaving in of stopwords only increases noise and decreases the ability of the model to produce meaningful results. ↩︎

    2. The researchers have received nearly a half a million $USD in federal taxpayer money through an NSF grant. ↩︎