Abstract:This research focuses on the effects on users' engagement of different tweet forms including text length, text sentiment and the usage of hashtag, mention, video or picture URL. In the first part, we analyze the tweets of five companies from the apparel industry and finds out that there is no universal form that can boost user's engagement, but in company scale, the effects of different forms between companies are various due to company attributes. Hence, in our second research, we expand the dataset and analy… Show more
“…Text length: While some scholars found the relationship between text length and engagement, some research indicates that longer text could get more attention [ 80 ]. For example, an organization’s lengthy tweet could significantly reduce the negative sentiment of customers’ tweets [ 81 ].…”
During times of public crises (such as COVID-19), governments must act swiftly to release crisis information effectively and efficiently to the public. This paper provides a general overview of the way that the Wuhan local government use Weibo as a channel to engage with their citizens during the COVID-19 pandemic. Based on the media richness, dialogic loop, and a series of theoretically relevant factors, such as content type, text length, and information source, we try to examine how citizen engage with their local government. By analyzing the data mining samples from Wuhan Release, the official Sina Weibo account of Wuhan’s local government, results show that, despite the unstable situation COVID-19 over the crisis, there exist three stages of a crisis on the whole. Combining the behavior of the government and the public, duration from 31 December 2019 to 19 January 2020 could be seen as the development period, then the outbreak period (30 January 2020 to 28 February 2020), and a grace period (29 February 2020 to19 April 2020). Public attention to different types of information changes over time, but curbing rumors has always been a priority. Media richness features partially influent citizen engagement. Text length is significantly positively associated with citizen engagement through government social media. However, posts containing information sources have a negative impact on citizen engagement.
“…Text length: While some scholars found the relationship between text length and engagement, some research indicates that longer text could get more attention [ 80 ]. For example, an organization’s lengthy tweet could significantly reduce the negative sentiment of customers’ tweets [ 81 ].…”
During times of public crises (such as COVID-19), governments must act swiftly to release crisis information effectively and efficiently to the public. This paper provides a general overview of the way that the Wuhan local government use Weibo as a channel to engage with their citizens during the COVID-19 pandemic. Based on the media richness, dialogic loop, and a series of theoretically relevant factors, such as content type, text length, and information source, we try to examine how citizen engage with their local government. By analyzing the data mining samples from Wuhan Release, the official Sina Weibo account of Wuhan’s local government, results show that, despite the unstable situation COVID-19 over the crisis, there exist three stages of a crisis on the whole. Combining the behavior of the government and the public, duration from 31 December 2019 to 19 January 2020 could be seen as the development period, then the outbreak period (30 January 2020 to 28 February 2020), and a grace period (29 February 2020 to19 April 2020). Public attention to different types of information changes over time, but curbing rumors has always been a priority. Media richness features partially influent citizen engagement. Text length is significantly positively associated with citizen engagement through government social media. However, posts containing information sources have a negative impact on citizen engagement.
“…Tweets absent a photo (10) received less engagement (2.7%) than those that included a photo [90 (4.7%)], consistent with other reports (Barton et al, 2017;Chung, 2017;Zhang et al, 2020) that show visual content can improve engagement. However, Han et al (2019) found that audience preference may also play a role in desire for photos, videos, and hashtags. A few of the non-photo tweets (n = 6) included a GIF meme, used as a humorous placeholder when a specific photo was not available.…”
Since late Mar. 2020, many universities halted normal operations due to the Coronavirus Disease 2019 (COVID-19) pandemic. Although extension uses many different techniques to educate consumers, it has been slow to grasp the power of social media. Faced with a dilemma of using digital methods instead of in-person field days, short courses, and workshops, Twitter was a viable alternative, especially for broad audience engagement. Tweet threads were posted on Twitter every Monday morning from 6 Apr. to 8 June 2020. Each thread consisted of 10 tweets. A hashtag #YardFruits was used to start the thread and for later reference. For the first nine threads only one fruit species was discussed per thread. The final thread consisted of single tweets of several species. Engagement percentage did not differ over time but did differ among the crop species. Tweets that did not include a photo received less engagement (2.7%) than those that did include a photo (4.7%). My Twitter account saw a 6.5% increase in followers during the series. Grape (Vitis sp.), passion fruit (Passiflora sp.), fig (Ficus carica), and pear (Pyrus communis) threads had the least engagement and were different from the Other Fruits thread. All other threads were similar. Extension educators can grow their influence by using well-targeted, focused tweets and tweet threads, especially those that use hashtags and photos.
“…For example, Schreiner et al, 2019 found that content characteristics and emotion in social media could have an impact on user engagement behavior. Similarly, Han et al's (2019) study empirically revealed the associations between types of social media messages and user engagement levels. This study attempts to this kind of effect, i.e.…”
Section: Research Modelmentioning
confidence: 89%
“…Prior literature indicates that users' responses to social media could be influenced by content of messages (e.g. Glazer, 2012;Han et al, 2019;Schreiner et al, 2019). For example, Schreiner et al, 2019 found that content characteristics and emotion in social media could have an impact on user engagement behavior.…”
Purpose
The purpose of this paper is to explore topics of Facebook posts created by public libraries using the bi-term topic model, and examine the relationships between types of topics and user engagement. The authors further investigated the effects of three library factors, namely, staff size, budget and urbanization degrees, on Facebook content and user engagement based on multilevel generalized linear modeling.
Design/methodology/approach
This study suggested a novel method, a combination of the bi-term topic modeling and MGLM, to enhance the understanding of social media in the context of public libraries.
Findings
The findings revealed that posts related to community events, awards and photos were likely to receive more likes and shares, whereas posts about summer reading programs received relatively more comments. In addition, the authors found that a larger staff size and the inclusion of multimedia had positive impacts on user engagement.
Originality/value
This study analyzed the content of public library-generated social media based on text mining. Then, the authors examined the effects of contextual library-level factors on social media practice in public libraries. Based on empirical findings, the study suggested a range of practical implications for effective use of social media in public libraries.
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