Increasing the number of cyclists, whether for general transport or recreation, can provide health improvements and reduce the environmental impact of vehicular transportation. However, the public's perception of cycling may be driven by the ideologies and reporting standards of news agencies. For instance, people may identify cyclists on the road as "dangerous" if news agencies overly report cycling accidents, limiting the number of people that cycle for transportation. Moreover, if fewer people cycle, there may be less funding from the government to invest in safe infrastructure. In this paper, we explore the perceived perception of cyclists within news headlines. To accomplish this, we introduce a new dataset, "Bike Frames", that can help provide insight into how headlines portray cyclists and help detect accident-related headlines. Next, we introduce a multi-task (MT) regularization approach that increases the detection accuracy of accident-related posts, demonstrating improvements over traditional MT frameworks. Finally, we compare and contrast the perceptions of cyclists with motorcyclist-related headlines to ground the findings with another related activity for both male- and female-related posts. Our findings show that general news websites are more likely to report accidents about cyclists than other events. Moreover, cyclist-specific websites are more likely to report about accidents than motorcycling-specific websites, even though there is more potential danger for motorcyclists. Finally, we show substantial differences in the reporting about male vs. female-related persons, e.g., more male-related cyclists headlines are related to accidents, but more female-related motorcycling headlines about accidents. WARNING: This paper contains descriptions of accidents and death.
翻译:增加骑自行车者的数量,无论是一般交通还是娱乐,都可以提供健康改善,减少骑自行车的环境影响。然而,公众对骑自行车的看法可能受新闻机构的意识形态和报告标准驱动。例如,如果新闻机构过度报道自行车事故,限制交通周期的人口数量,人们可能会将路上骑自行车者确定为“危险 ” 。此外,如果人口周期减少,政府可能减少,投资于安全基础设施的资金就会减少。在本文中,我们探索了新闻标题中人们对骑自行车者的看法。为了实现这一目标,我们引入了一个新的数据集,即“自行车框架 ”, 它可以帮助人们深入了解标题如何描绘骑自行车者,并帮助检测与事故有关的头条。 其次,我们采用了多任务(MT)的正规化方法,提高与事故有关的邮箱的准确性,展示了传统的男性医疗框架的改善。最后,我们比较和骑自行车的骑自行车者的看法与地面头条的差别更大,甚至对女性骑自行车事故的统计结果与另一个相关的电子活动,对女性骑车事故做了比较。我们发现,最终的脚路路路网站比其他与电路相关。我们更可能显示与车祸相关的网站更多。我们发现更多的是有关。我们向一般的脚路路路路路路路路路迹网站。我们向其他网站展示了更多。