Questions Response
Technology has been deemed overtime to be influential in steering developments and conveying of messages in numerous communities. With the users being of different genders, the perceptions and ideologies expressed on these systems are fluctuating depending on multiple topics and points of interest. With crucial aspects such as education, health, politics, and economics being instrumental in running the society, respective genders have different reactions depending on beliefs instilled in separate communities. This work will address the crucial role of nature in which technology handles gender in the world.
Technology is deemed to be gendered based on the different ways in which specific individuals representing a particular gender are treated or perceived. This implies that an individual can be favored just because of his respective gender, while the other gets ridiculed or discriminated based on his or her sexuality. Technology can be said to be gendered if specific priorities and privileges in a given field are distributed based on one’s sexuality. This triggers gender gaps, which can be witnessed when an individual does or takes part in a specific sport but faces idolization or ridicule based on the sexuality he or she represents.
An example of where information technology can be gendered is in the field of politics. A female presidential aspirant can face backlash and rejection based on her gender irrespective of the ideologies or policies she represents or wishes to be voted for, respectively. She may receive low opinion votes or percentages from individuals who believe that a woman cannot be fit to lead a nation. BenYishay et al. (2020) agree that this can be triggered by past toxic masculinity tendencies where men have been known to take leadership positions. However, the fact that she is a female candidate does not mean that her male counterparts can do a better job just because of their sexuality. Hence, a clear indication of how information technology can be gendered.
Soft wares, hard wares, and algorithms can reinforce existing stereotypes based on the target population they might try to reach. For example, an algorithm might focus on portraying a male candidate as a noble leader thus, ensuring that users of particular software or site keep seeing pop-ups of how good the individual’s policies are, overlooking the female counterparts in the process. This fuels the existing stereotype, which tries to widen the gap between genders, promoting inequality in the process. Polar et al. (2017) assert that advertisements on lack of education might also use the images of female children; hence, they create a notion that they are the gender that cannot access learning opportunities. This might be biased because researchers might find that an entire community lacks educational amenities and not just a specific gender.
Technology can impact intervention processes in both negative and positive manners. The fact that technology can screen for particular diseases in the human system aids physicians in treating several conditions, and more so, aid subjects in knowing their status. However, this might lead to negative social repercussions as cases such as STDs can subject a patient to emotional and social torture. If a result comes out positive, he or she is more likely to be fearful and embarrassed by the result; hence, subjecting the individual to hostilities from the people around. He or she is more likely to be isolated and even rejected in most situations because of a positive result. He and Freeman (2019) negative social consequences may also arise in a manner in which the particular individual can be neglected and deemed sexually undesirable because of his or her past. This can subject an individual to social and mental torture as such situations are, in most cases, not intentional and can be dealt with medically in the most appropriate manner possible.
In situations where scientists work to conduct genetic researches based on one’s ethnic background can help medical scholars and researchers in understanding the unique characteristics of different races. However, with the world comprising of a human population that tries to find the difference in every individual and struggling with gaps in gender, race, and other avenues, this will stand as another piece that works to differentiate humanity. With racism and gender equalities corrupting out systems, incorporation of race as a biological category will only create a platform where individuals will be singled out based on their racial backgrounds.
In conclusion, the human population faces numerous blocs that are used to distinguish and discriminate individuals unfairly. Race and gender are entities that have been used in multiple parts of the world to single out different characters and populations. According to Gonda (2016), humanity should focus on ways in which they can use existing systems such as technology to appropriately unite the entire community without judging the background and nature of a particular individual. Existing frameworks and stereotypes that focus on promoting divisions should be ousted out to ensure that the entire human population coexists in the best manner possible that can guarantee eventual cohesion and productivity in corresponding communities.
References
He, J., & Freeman, L. A. (2019). Are men more technology-oriented than women? The role of gender on the development of general computer self-efficacy of college students. Journal of Information Systems Education, 21(2), 7.
Polar, V., Babini, C., Velasco, C., Flores, P., & Fonseca, C. (2017). Technology is not gender-neutral: factors that influence the potential adoption of agricultural technology by men and women.
BenYishay, A., Jones, M., Kondylis, F., &Mobarak, A. M. (2020). Gender gaps in technology diffusion. Journal of Development Economics, 143, 102380.
Gonda, N. (2016). Climate change, “technology” and gender: “Adapting women” to climate change with cooking stoves and water reservoirs. Gender, Technology, and Development, 20(2), 149-168.
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