Social Networks and Communicative Meaning in Mexican Migration Networks in the US

Author(s):  
Joel Pedraza Mandujano
Sexes ◽  
2021 ◽  
Vol 2 (1) ◽  
pp. 50-59
Author(s):  
Andrea Sansone ◽  
Angelo Cignarelli ◽  
Daniele Mollaioli ◽  
Giacomo Ciocca ◽  
Erika Limoncin ◽  
...  

Sentiment analysis (SA) is a technique aimed at extracting opinions and sentiments through the analysis of text, often used in healthcare research to understand patients’ needs and interests. Data from social networks, such as Twitter, can provide useful insights on sexual behavior. We aimed to assess the perception of Valentine’s Day by performing SA on tweets we collected between 28 January and 13 February 2019. Analysis was done using ad hoc software. A total of 883,615 unique tweets containing the word “valentine” in their text were collected. Geo-localization was available for 48,918 tweets; most the tweets came from the US (36,889, 75.41%), the UK (2605, 5.33%) and Canada (1661, 3.4%). The number of tweets increased approaching February 14. “Love” was the most recurring word, appearing in 111,981 tweets, followed by “gift” (55,136), “special” (34,518) and “happy” (33,913). Overall, 7318 tweets mentioned “sex”: among these tweets, the most recurring words were “sexy” (2317 tweets), “love” (1394) and “gift” (679); words pertaining to intimacy and sexual activity, such as “lingerie”, “porn”, and “date” were less common. In conclusion, tweets about Valentine’s Day mostly focus on the emotions, or on the material aspect of the celebration, and the sexual aspect of Valentine’s Day is rarely mentioned.


2017 ◽  
pp. 56-62
Author(s):  
Nadejda Kudeyarova

The debate over the Mexican migrants issue has been intensi ed by Donald Trump’s election. His harsh statements have provoked a discussion on the US policy for Mexico, as well as on the migration regulation in the United States. However, the mass migration of the last quarter of XX - beginning of XXI centuries may be also readily associated with the social and demographic processes developed in Mexico throughout the 20th century. The dynamics of migratory activity followed the demographic changes. The internal causes of the Mexican migration analysis will allow more clarity in understanding contemporary migration interaction between the two neighboring countries.


Author(s):  
Annemarie Steidl

This essay examines the effectiveness of the network of relatives and friends in providing support and information to Austrian transatlantic migrants under the Habsburg Monarchy, in attempt to broaden the historical study of migrant networks. It claims that these networks determined migrant movement collectively rather than individually, and sprung up in order to minimise the risk to migrants crossing the Atlantic. It analyses passenger shipping records, particularly data relating to the ports of Bremen and Hamburg in 1910, in order to draw the conclusion that social networks of migration under the Habsburg Empire did not solely rely on family ties, but also the established conventions of the migration process and the social status of the migrants themselves. It calls for further research into the role of families in migrant networks.


1984 ◽  
Vol 18 (3) ◽  
pp. 767-781
Author(s):  
Ina Rosenthal-Urey

This article discusses the methodological issues in the study of Mexican migration initiated by Cornelius and others in a recent issue of this journal (1982). It addresses two problems: the need to locate strategic regions in Mexico before field-work is begun; and the need to develop techniques for longitudinal studies of migration networks.


2016 ◽  
Vol 2016 (237) ◽  
Author(s):  
Christina Michelle Weaver ◽  
George A. Kiraz

AbstractTuroyo, an endangered Neo-Aramaic language that originated in the area of Tur Abdin in southeastern Turkey and had not been written prior to this century, is spoken today by around 50,000 people scattered worldwide. Spurred on by persecution, Turoyo-speaking immigrants began to arrive in the US as early as the late 1890s. We focus our study on a northern New Jersey community in which Turoyo is spoken. This tight-knit community, whose religious and social center is the Mor Gabriel Syriac Orthodox Church, is made up of around 200 families. The community is working hard to pass the language on to their children through speaking Turoyo in the home and in church, and also through programs including a specially created Sunday school curriculum, a weekly Aramaic school, and a summer day camp. However, despite the community’s best efforts, language shift is taking place. We use a sociolinguistic approach involving sociolinguistic methods and interviews to show that family, social networks, and religion influence who is most likely to be a proficient speaker of Turoyo in this community, but that identity is the one sociolinguistic variable that can best account for the variety of cases in which language shift is taking place.


2021 ◽  
Vol 41 (3) ◽  
pp. 303-319
Author(s):  
Sean Field

Drawing on ethnographic research in Houston, Texas, I explore how oil and gas experts negotiate social power and precariousness within the US hydrocarbon sector. In an industry long associated with corporate power, the careers of experts are precariously balanced on rising and falling hydrocarbon prices. This makes the social power these experts wield as fluid as the commodities they are premised on. I show that informal social networks solidified by industry associations can buffer this precariousness by opening new employment opportunities and allowing them to maintain their connection to elite industry circles through periods of unemployment and uncertainty. For many working in the industry, precariousness defines the US hydrocarbon sector as much as the wealth that it is known to generate. Precariousness, I argue, is not just experienced by specific groups of people but rather is a general characteristic of capitalism that touches all but a select few.


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