Infoveillance based on Social Sensors to Analyze the impact of Covid19 in South American Population (Preprint)

Author(s):  
Josimar E. Chire Saire

BACKGROUND Infoveillance is an application from Infodemiology field with the aim to monitor public health and create public policies. Social sensor is the people providing thought, ideas through electronic communication channels(i.e. Internet). The actual scenario is related to tackle the covid19 impact over the world, many countries have the infrastructure, scientists to help the growth and countries took actions to decrease the impact. South American countries have a different context about Economy, Health and Research, so Infoveillance can be a useful tool to monitor and improve the decisions and be more strategical. The motivation of this work is analyze the capital of Spanish Speakers Countries in South America using a Text Mining Approach with Twitter as data source. The preliminary results helps to understand what happens two weeks ago and opens the analysis from different perspectives i.e. Economics, Social. OBJECTIVE Analyze the behaviour of South American Capitals in front of covid19 pandemics and show the helpfulness of Text Mining Approach for Infoveillance tasks. METHODS Text Mining process RESULTS - Argentina and Venezuela capitals are the biggest number of post during this period, opposite with Bolivia, Ecuador and Uruguay. - Most relevant users are related to mass media like radio, television or newspapers. - There is a general concern about covid19 but every country talks about different areas: Economics, Health, Environmental Impact. CONCLUSIONS Infoveillance based on Social Sensors with data coming from Twitter can help to understand the trends on the population of the capitals. Besides, it is necessary to filter the posts for processing the text and get insights about frequency, top users, most important terms. This data is useful to analyse the population from different approaches. INTERNATIONAL REGISTERED REPORT RR2-https://doi.org/10.1101/2020.04.06.20055749

2020 ◽  
Author(s):  
Josimar E. Chire Saire

ABSTRACTInfoveillance is an application from Infodemiology field with the aim to monitor public health and create public policies. Social sensor is the people providing thought, ideas through electronic communication channels(i.e. Internet). The actual scenario is related to tackle the covid19 impact over the world, many countries have the infrastructure, scientists to help the growth and countries took actions to decrease the impact. South American countries have a different context about Economy, Health and Research, so Infoveillance can be a useful tool to monitor and improve the decisions and be more strategical. The motivation of this work is analyze the capital of Spanish Speakers Countries in South America using a Text Mining Approach with Twitter as data source. The preliminary results helps to understand what happens two weeks ago and opens the analysis from different perspectives i.e. Economics, Social.


2020 ◽  
Author(s):  
Josimar E. Chire Saire ◽  
Kobby Panford-Quainoo

Present pandemic generated by Coronavirus Covid-19 has stopped the world, from Tourism, Business, Education and more. Actu-ally, there are reported cases in every continent from America to Europe, from Europe to Australia. Africa is one continent in process of develop- ment with a variety of languages, limitations/problems and of course, abundance of culture. The aim of this paper is to analyze the impact in one country located in the middle-west, named Ghana. The data source for the analysis is Twitter(Social Network) and the analysis is using a Text Mining approach. Besides, a composition of graphics are presented considering Google search, daily reported cases. The study is exploratory to know what topics are most frequent in Great Accra Region. The con- clusions are: Twitter is useful to get data for the analysis, and the interest of user from Ghana was high at the beginning but it was decreasing from April until July, probably the people is tired or adapting themselves to the actual situation.


2020 ◽  
Vol 6 (2) ◽  
Author(s):  
Angga Syahputra ◽  
Mukhtasar Mukhtasar

AbstractThe Indonesian government has taken various policies to protect its citizens from the Covid-19 outbreak. Large-Scale Social Restrictions (PSBB) to impose a curfew have become several policies taken by several cities in Indonesia to stop the spread of Covid-19. Since WHO declared a pandemic, Covid-19 has had an impact on all aspects of life including socio-economics. Lhokseumawe is an industrial city which is mostly inhabited by residents from outside the city which is designated as a red zone. Various policies issued, such as the imposition of curfews, prohibitions on gathering in cafes, social distancing, wearing masks, and other policies, generally have no significant impact on socio-economic aspects. For this reason, researchers want to see the impact of Covid-19 on the socio-economic aspects of the people of Lhokseumawe City. The method used in this study used qualitative methods with the main data source obtained from observations, as a complement used literature studies and the results of previous research. As of October 2020, Lhokseumawe is still a red zone, but many people do not heed government policies, even socio-economic activities appear to be running normally. The results also showed that there was no significant change in the socio-economic aspects of the community in Lhokseumawe City. This research also explains important steps that are useful for stakeholders to decide on Covid-19 and anticipate its impact.


Author(s):  
Lewis Hassell

Since the early 1980s there has been an interest in linguistics in general and speech act theory in particular in CSCW, HCI, MIS, and IS modeling in general. The reason for this is simple—computer and information scientists discovered that most work is group work and most group work occurs via language. Winograd and Flores (1986) popularized the use of speech act theory, especially the Searlian variety, for modeling electronic communication and collaboration. However, what one finds if one looks closely is that we have taken the easy road when dealing with language. There are a large variety of speech acts that we ignore when analyzing language, particularly when using speech act theory. Why this is so, the impact on tool-creation, and possible remediation of this problem will be discussed. The importance for such areas as e-collaboration, as well as text mining, computer security, and computing in general will be emphasized.


2020 ◽  
Author(s):  
Josimar Edinson Chire Saire ◽  
Anabel Pineda Briseño

AbstractThe epidemiological outbreak of a novel coronavirus (2019-nCoV or Covid-19) in China, and its rapid spread, gave rise to the first pandemic in the digital age. Derived from this fact that has surprised humanity, many countries started with different strategies in order to stop the infection. In this context, one of the greatest challenges for the scientific community is monitoring (real time) the global population to get immediate feedback of what is happening with the people during this public health contingency. An alternative interesting and affordable for the materialization of the aforementioned are the social networks. In a social network, the persons can act as sensors/information not only of personal data but also data derived from their behavior. This paper aims to analyze the publications of people in Mexico using a Text Mining approach. Specifically, Mexico City is presented as a case study to help understand the impact on society of the spread of Covid-19.


MAKSIGAMA ◽  
2020 ◽  
Vol 13 (2) ◽  
pp. 138-155
Author(s):  
Rumadi .

The impact of Globalization has had the effect of increasing technological developments in Indonesia, increasing information circulating among the people. It cannot be denied that the information circulating is true or false. Hoax information is information created with the aim of spreading hatred tests. Commonly practiced by spreading slander and making news that is inversely proportional to the reality of people, products, organizations or companies that are targeted, even the political constellation of the homeland was not spared from its effects. The method used in this study is a normative juridical method. In addition, the data source used is the primary data source obtained from cases of hoax news dissemination that occurred in Indonesia, and secondary data obtained from the literature of books, journals, articles, and other literature that are used as references and complementary sources of research. The results showed Hoax according to the law is something that harms others in cyberspace and in the real world. Article 28 Paragraph 2 of Law No. 19 Year 2016 is anyone who intentionally and without the right to spread false news addressed to individuals, races, tribes, and between groups, to incite hatred and hostility will be subject to imprisonment no later than 6 (six) years and / or a maximum fine of one billion rupiah".Keywords: Hoax deployment, ITE Law


2021 ◽  
Vol 17 (1) ◽  
pp. 142
Author(s):  
Novitasari Novitasari ◽  
Purwati Anggraini

 Penelitian ini bertujuan untuk mendeskripsikan: 1) prasangka tokoh terhadap utusan gubernur dalam novel Si Anak Badai karya Tere Liye, 2) dampak prasangka tokoh terhadap utusan gubernur pada novel Si Anak Badai karya Tere Liye. Penelitian ini merupakan penelitian deskriptif kualitatif dengan pendekatan psikologi sastra, dengan sumber datanya novel Si Anak Badai karya Tere Liye. Data berupa satuan cerita yang terwujud dalam dialog, paragraf, maupun narasi yang menjelaskan prasangka tokoh terhadap tokoh lain. Teknik pengumpulan data menggunakan teknik baca catat kemudian dikelompokkan dalam tabel. Analisis data menggunakan langkah reduksi data yang meliputi menyeleksi, meringkas, serta menggolongkan data. Hasil penelitian ini adalah: 1) prasangka tokoh terhadap utusan gubernur yang hendak mendirikan secara paksa pelabuhan di kampung Manowa yang terwujud dalam persepsi, kekhawatiran, bahkan tindakan perlawanan yang dilakukan oleh rakyat Manowa, 2) dampak prasangka tokoh terhadap utusan gubernur yang berwujud kemarahan dan juga kenekatan dalam melancarkan pembangunan pelabuhan tersebut. This study aims to describe 1) the prejudice of the characters on the governor's delegation in Si Anak Badai novel by Tere Liye, 2) The impact of the character's prejudice on the governor's delegation in Si Anak Badai novel by Tere Liye. This research is a descriptive qualitative study with a literary psychology approach. The data source is the novel Si Anak Badai by Tere Liye. Data in the form of story units that are manifested in dialogues, paragraphs, and narratives that explain the character's prejudice about other characters. The data collection technique used the reading and notes technique and then grouped them in a table. Data analysis uses data reduction steps which include selecting, summarizing, and classifying data. The results of this study are 1) the prejudice of the figures regarding the governor's delegation who want to forcibly establish a port in Manowa Village which are manifested in perceptions, worries, and even acts of resistance by the people of Manowa, 2) the impact of the figures' prejudice on the governor's delegation who is angry and impetuous in accelerating the construction of the port.


2020 ◽  
Vol 2 ◽  
pp. 1-2
Author(s):  
Franz-Benjamin Mocnik

Abstract. Geographical features can be represented in different ways. Buildings, for instance, can be represented as areal features defined by polygonal lines or as point features in a map. While the type of representation chosen to represent a building strongly depends on the scale of the map, it seems common to represent points of interests (POIs) as point features. More complex examples exist. For example, the way buildings that are part of a mosque are conceptualized and thus labelled in a map strongly depends on how familiar we are with the Arabic culture. The same applies to the often perceived separation between public and private space in Arabic cultures, which can have an impact on geometrical aspects of map representations. Such coexisting representations of geographical features can, in particular, be observed in collaboratively created data sources (Mocnik et al., 2019), such as OpenStreetMap (OSM) data and maps generated from these.Competing representations of geographical features can reduce the readability of a map, but they can also open up opportunities to draw conclusions about the underlaying mental model (Mayer et al., 2020). When the people involved in the map creation process have different mental representations of a geographical feature, the representations they create often differ. This, in turn, impacts the readability, which refers to the process of transferring a map representation into a mental one, i.e., the process opposed to map creation, as there is often no clear and unambiguous correspondence between the symbols in the map and the represented geographical features (Scheider et al., 2009; Mocnik et al., 2018) Over time, these conceptualizations can mutually influence and lead to a convergence (Mocnik et al., 2017). Despite this, the coexistence of different cartographic representations makes possible to draw conclusions about the way a feature has been conceptualized. The symbols in the map encode, accordingly, besides the intended information about the geographical features, also information about the mental models involved (Mayer et al., 2020).The effect of mental models on the map representation often goes unnoticed because there is, in many cases, only very subtle variation between the map representations of one type of geographical features. If such variation would be much larger, it would even be impossible to interpret the symbols of a map. While the examples discussed above can be traced very well in individual cases, it is yet unclear how systematic the influence of mental models is. A systematic examination of such examples can investigate the influence statistically and at a larger scale. Further research might show the extent to which conclusions can practically be drawn about the conceptualization of geographical features and corresponding mental representations.The ability to trace mental models through maps is a suitable tool for exploring the conceptualization of geographies. For instance, future research might investigate in detail the impact culture has on the way we conceptualize. Likewise, it might investigate how people experience urban landscapes in different ways. By using maps and the data behind them as a source of information for mental models, maps gain a new purpose while the original one is put into the background. While such thinking is common for sketch maps, it also also applies, to a lesser degree, to Volunteered Geographic Information (VGI), which can become a valuable data source for ethnologists, human geographers, psychologists, and cognitive scientists.In a similar way, a better understanding of how mental models relate to cartographic representations can help to improve the latter. The cartographic representation of idiosyncratically experienced geographies, for instance, still poses challenges. Also, stories are, in many cases, hard to convey through classical maps (Mocnik and Fairbairn, 2018). The same applies to places and corresponding cartographic representations, which often are characterized by subjective and idiosyncratic aspects (Westerholt et al., 2018; Westerholt et al., 2020). The empirical investigation of the effect mental models have on cartographic representations can be expected to also provide insights into the reverse process, thus leading to cartographic techniques that make it possible to convey idiosyncratic experience and, eventually, also emotions.


Crisis ◽  
2010 ◽  
Vol 31 (5) ◽  
pp. 238-246 ◽  
Author(s):  
Paul W. C. Wong ◽  
Wincy S. C. Chan ◽  
Philip S. L. Beh ◽  
Fiona W. S. Yau ◽  
Paul S. F. Yip ◽  
...  

Background: Ethical issues have been raised about using the psychological autopsy approach in the study of suicide. The impact on informants of control cases who participated in case-control psychological autopsy studies has not been investigated. Aims: (1) To investigate whether informants of suicide cases recruited by two approaches (coroners’ court and public mortuaries) respond differently to the initial contact by the research team. (2) To explore the reactions, reasons for participation, and comments of both the informants of suicide and control cases to psychological autopsy interviews. (3) To investigate the impact of the interviews on informants of suicide cases about a month after the interviews. Methods: A self-report questionnaire was used for the informants of both suicide and control cases. Telephone follow-up interviews were conducted with the informants of suicide cases. Results: The majority of the informants of suicide cases, regardless of the initial route of contact, as well as the control cases were positive about being approached to take part in the study. A minority of informants of suicide and control cases found the experience of talking about their family member to be more upsetting than expected. The telephone follow-up interviews showed that none of the informants of suicide cases reported being distressed by the psychological autopsy interviews. Limitations: The acceptance rate for our original psychological autopsy study was modest. Conclusions: The findings of this study are useful for future participants and researchers in measuring the potential benefits and risks of participating in similar sensitive research. Psychological autopsy interviews may be utilized as an active engagement approach to reach out to the people bereaved by suicide, especially in places where the postvention work is underdeveloped.


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