Figure - available from: The Scientific World Journal
This content is subject to copyright. Terms and conditions apply.
Source publication
South Africa is considered the murder capital of the world. The challenge for the South African government is to attract foreign investment to boost the economy in a country plagued by homicide. In this study, a change-point analysis was used to pinpoint significant changes in the murder trends in each of the nine provinces in South Africa from 200...
Citations
... In effect, the algorithms automate those decisions and thereby remove some of the subjectivity from the analysis. Both change-point analysis and anomaly detection have, to date, been infrequently utilised approaches for crime data (see Monyeki et al., 2020 for an exception) despite their advantages. Further, the two approaches are complementary and increased confidence in findings can be gained through their cross validation. ...
Unlabelled:
Research on pandemic domestic abuse trends has produced inconsistent findings reflecting differences in definitions, data and method. This study analyses 43,488 domestic abuse crimes recorded by a UK police force. Metrics and analytic approaches are tailored to address key methodological issues in three key ways. First, it was hypothesised that reporting rates changed during lockdown, so natural language processing was used to interrogate untapped free-text information in police records to develop a novel indicator of change in reporting. Second, it was hypothesised that abuse would change differentially for those cohabiting (due to physical proximity) compared to non-cohabitees, which was assessed via a proxy measure. Third, the analytic approaches used were change-point analysis and anomaly detection: these are more independent than regression analysis for present purposes in gauging the timing and duration of significant change. However, the main findings were largely contrary to expectation: (1) domestic abuse did not increase during the first national lockdown in early 2020 but increased across a prolonged post-lockdown period, (2) the post-lockdown increase did not reflect change in reporting by victims, and; (3) the proportion of abuse between cohabiting partners, at around 40 percent of the total, did not increase significantly during or after the lockdown. The implications of these unanticipated findings are discussed.
Supplementary information:
The online version contains supplementary material available at 10.1186/s40163-023-00190-7.
... is resulted in an output dataset containing unique entries along with additional fields to represent each tweet's sentiment polarity scores and classification. e change point analysis (CPA) on the outputted dataset is broken down into three distinct stages, and they are preprocessing, mining, and analysis, as shown in Figure 3. CPA was carried out using the bootstrapped cumulative sum analysis (CUSUM) technique, which is proven to be very useful and effective based on the application and performance from similar studies [40]. To identify a credible link between online sentiment and real-life occurrences, change point dates were triangulated with previous #Fees-MustFall timelines that contain major and known actual events. ...
The declaration of free education for the poor and working class by the South African government remains a key result of the two-year #FeesMustFall movement. The campaign was tainted by a few heinous incidents that sought to disrupt its objectives. This study examines the connections between online activism and real-world occurrences by undertaking a longitudinal sentiment analysis of textual conversations on the Twitter platform since no quantitative research has been documented in this regard, particularly on the opinions of social media users and their associated impacts. Between October 15, 2015, and April 10, 2017, 576,583 tweets with the hashtag campaign #FeesMustFall were collected and analyzed using the Valence Aware Dictionary Sentiment Reasoner (VADER). The change point analysis (CPA) method was used to detect various changes in the dataset, and the cumulative sum analysis (CUSUM) method was used to discover changes over time. Results revealed that this online activism sentiment reacted to and reflected real-life events. The sentiment expressed is triangulated with a perceived real-life negative event, which is the burning of the University of Johannesburg (UJ) hall and the library at the University of KwaZulu-Natal (UKZN), thus confirming how Internet activism influenced these real-world events during the #FeesMustFall campaign. The study makes a significant contribution because it is the first longitudinal examination of the #FeesMustFall campaign’s sentiment distribution and variations.
