id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
ertr-326	Zhang, Wen; Choe, Yeongbae; Fesenmaier, Daniel R.	The Defining Features of Emotions in Online Stories	2019	10	.pdf	application/pdf	2938	145	50	The results of this study demonstrate that key features (e.g. emotion arousal levels at the beginning, peak and end of the story) significantly correlate with reader involvement in online stories. On average, the stories tend to have emotional peaks (maximum sentiment scores) at the beginning – 20% of the story (M=5.98) and the end – 100% of the story (M=6.18) (see Fig. 2); additionally, maximum sentiment intensity (M=6.07, SD=2.63) and its location within the story are different, indicating the emotional structure of online stories differ quite substantially.	cache/ertr-326.pdf	txt/ertr-326.txt