[{"data":1,"prerenderedAt":774},["ShallowReactive",2],{"project-28840700":3},{"id":4,"name":5,"line":6,"line_source":7,"title":8,"url":9,"domain":10,"maker":11,"posted_at":12,"year":13,"points":14,"comments":15,"rank_in_year":16,"shown_in_year":17,"top":18,"tier":19,"category":20,"subcategory":21,"format":22,"keywords":23,"reception":29,"sentiment":30,"stance_mix":31,"scored_comments":35,"aspects":36,"strip":46,"post_text":49,"what":50,"said":90,"maker_in_thread":175,"shape":181,"grid":184,"attempts":736,"same_week":737,"maker_shows":41,"maker_hidden":766,"reader_version":767,"card":768},"28840700","Vision Zero Reporting","Identify car crash editorial anti-patterns using NLP","title","Show HN: Identify car crash editorial anti-patterns using NLP","https:\u002F\u002Fvisionzeroreporting.com\u002F","visionzeroreporting.com","chiefofgxbxl",1634051487,2021,344,205,97,2533,4,"legend","learning_science","journalism analysis","web_app",[24,25,26,27,28],"traffic crash reporting","news bias detection","vision zero","editorial framing","nlp","debated",-0.082,{"positive":32,"neutral":33,"mixed":18,"critical":34},17,20,24,65,{"idea":37,"design":40,"docs":42,"execution":44},{"positive":38,"critical":39},12,22,{"positive":41,"critical":41},1,{"positive":43,"critical":43},0,{"positive":45,"critical":41},3,[41,45,43,43,43,43,43,43,43,43,43,41,41,47,45,43,48,43,41,41,41,41,43,43,43,41,18,47,45,18,18,41,48,48,41,47,45,45,43,45],2,5,null,{"problem":51,"audience":58,"pricing":49,"motivation":62,"time_to_build":49,"stack":69,"openness":88,"stage":89,"team_size":88},{"value":52,"source":53,"evidence":54},"Local news crash coverage blames victims and frames crashes as isolated accidents.","maker",[55],{"id":56,"by":11,"text":57},"28840701","Hi HN, I built \"Vision Zero Reporting\" (https:\u002F\u002Fvisionzeroreporting.com), a tool to detect editorial anti-patterns in local news coverage of car crashes. Maybe you've noticed…",{"value":59,"source":53,"evidence":60},"News publishers and reporters covering car crashes.",[61],{"id":56,"by":11,"text":57},{"value":63,"source":53,"evidence":64},"Reduce victim-blaming and promote thematic framing in crash reporting to support road safety.",[65,66],{"id":56,"by":11,"text":57},{"id":67,"by":11,"text":68},"28842909","Respectfully, I think you're demonstrating the sort of thinking the corpus of research surrounding this seeks to shine a spotlight on: blaming the victim, rather than focusing on…",[70,76,80,84],{"value":71,"source":53,"evidence":72},"spaCy",[73],{"id":74,"by":11,"text":75},"28847012","Thanks! Comparison between news outlets is on the radar, once I improve the tool based on feedback from this Show HN. My backend uses spaCy (NER\u002FNLP), textacy [1] for extracting…",{"value":77,"source":53,"evidence":78},"textacy",[79],{"id":74,"by":11,"text":75},{"value":81,"source":53,"evidence":82},"coreferee",[83],{"id":74,"by":11,"text":75},{"value":85,"source":53,"evidence":86},"Label Studio",[87],{"id":74,"by":11,"text":75},"unknown","beta",{"praise":91,"objections":108,"requests":143,"questions":162,"alternatives":174},[92,101],{"value":93,"source":94,"evidence":95},"Interesting NLP application in a focused domain.","commenter",[96,100],{"id":97,"by":98,"text":99},"28840785","PaulHoule","I like it. I like that it tags segments of text as opposed to the document as a whole. Since it is confined to a domain and has a well-chosen problem it seems to be highly…",{"id":56,"by":11,"text":57},{"value":102,"source":94,"evidence":103},"Useful insight that reframing accidents as crashes matters.",[104],{"id":105,"by":106,"text":107},"28842348","markstos","Here’s why the reframing matters: Accidents are “oops” that are to accepted as fact of life. The no reason to change the system. Accidents happen. Crashes are not accidents. They…",[109,120,127,134],{"value":110,"source":94,"evidence":111},"Shifts blame onto drivers instead of addressing systemic road design.",[112,116],{"id":113,"by":114,"text":115},"28841871","beaconstudios","this seems to me like it's designed to shift the blame from unilaterally on the VRU (bad), to unilaterally on the driver (also bad). You pay lip service to systemic problems, but…",{"id":117,"by":118,"text":119},"28841184","dymk","This is neat, but something bugs me about the framing of the intended goal versus how you propose to get there. If the intent is to raise public awareness and to put pressure on…",{"value":121,"source":94,"evidence":122},"Feels like manipulating language to push a viewpoint.",[123],{"id":124,"by":125,"text":126},"28841889","dash2","I'm afraid I find this somewhere between creepy and ridiculous. On the ridiculous side: the idea that calling a car accident an \"accident\" is somehow wrong - as if, because I…",{"value":128,"source":94,"evidence":129},"Calling 'accident' wrong is questionable; the term is defined as negligence-based.",[130],{"id":131,"by":132,"text":133},"28841419","fermigier","I like the general idea, and the use of NLP to implement it. But I am dubious about some of the principles behind it. - For example, I find it inaccurate to say \"the driver hit…",{"value":135,"source":53,"evidence":136},"Some classifications are wrong, e.g. vehicle naming and VRU detection.",[137,140],{"id":138,"by":11,"text":139},"28845507","Thanks for linking this issue, and I'll certainly look into it. I agree with your analysis on Twitter: manually annotating the article should yield the following issues: 1.…",{"id":141,"by":11,"text":142},"28845309","Thanks for alerting me to this - that sentence is itself fine, and the tool is incorrectly marking it as problematic. I'll debug that!",[144,151,155],{"value":145,"source":94,"evidence":146},"Better handling of thematic framing detection.",[147,148],{"id":117,"by":118,"text":119},{"id":149,"by":11,"text":150},"28842314","This is a great question and I agree with you entirely. Ultimately, Framing (thematic vs. episodic) is the most important consideration for these articles. It's important for…",{"value":152,"source":94,"evidence":153},"Recognize context such as road design and lighting.",[154],{"id":67,"by":11,"text":68},{"value":156,"source":94,"evidence":157},"Apply the tool to other domains like gun crime reporting.",[158],{"id":159,"by":160,"text":161},"28841237","briandear","This could also be used for gun crime reporting as well.",[163,170],{"value":164,"source":94,"evidence":165},"How to define counterfactual and accident in this context.",[166,169],{"id":167,"by":11,"text":168},"28842664","Thanks for the feedback. There seems to be some conflict with how to define \"counterfactual\". Merriam-Webster defines it as \"contrary to fact\" [1], so that comes down to a…",{"id":131,"by":132,"text":133},{"value":171,"source":53,"evidence":172},"How to augment training data for thematic 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