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The graph shows the age distribution of the respondents in three ranges:

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The graph shows the age distribution of the respondents in three ranges:

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- 55% are between 21 and 25 years old (6 people).

- 27% are between 15 and 20 years old (3 people).

- 18% are between 26 and 30 years old (2 people).

In summary, the majority of participants are in the 21-25 age range, which could influence social network usage patterns, as this group is one of the most active on digital platforms.

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This graph shows the profession of the respondents:

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This graph shows the profession of the respondents:

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- The vast majority, with 90% (9 people), come from the field of Sports Science.

- Only one person, equivalent to 10%, works in Development and Software Technology.

- None of the respondents came from Industrial Engineering.

This predominance of people from the Sports Science field could reflect patterns of social network use oriented to health, fitness, and sports-related activities.

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The graph shows that the majority of respondents (73%, or 8 people) check social networks immediately upon waking up, while 27% (3 people) do not.

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The graph shows that the majority of respondents (73%, or 8 people) check social networks immediately upon waking up, while 27% (3 people) do not.

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This data suggests a strong habit of early connection to social networks, which could be related to the need to stay informed or updated from the beginning of the day. It could also indicate a dependence on technology from the early hours of the day, a common pattern among frequent network users.

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This graph shows that the majority of respondents, 73% (8 people), would not delete a post if it received negative comments, while 27% (3 people) would.

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This graph shows that the majority of respondents, 73% (8 people), would not delete a post if it received negative comments, while 27% (3 people) would.

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This result indicates that most participants are not significantly influenced by negativity on social networks, which could reflect a greater confidence in what they share or a level of detachment from external approval. However, a small group would choose to remove content, which may suggest a greater sensitivity to negative feedback.

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This graph shows the time respondents spend on social networks on a daily basis:

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This graph shows the time respondents spend on social networks on a daily basis:

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- 55% (6 people) spend between 1 and 3 hours a day on social networks, representing the highest proportion.

- 36% (4 people) use networks between 4 and 6 hours a day, indicating prolonged use.

- Only 9% (1 person) spend 30 minutes or less on social networks.

- No respondent spends 7 hours or more.

Overall, most respondents spend a moderate amount of time (1-3 hours), but a significant proportion spend more than 4 hours a day, which could indicate a strong presence of networks in their daily lives.

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The graph on the frequency with which respondents take a break from social networks reveals:

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The graph on the frequency with which respondents take a break from social networks reveals:

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- 82% (9 people) take a break of between 1 and 3 hours from social networks.

- 9% (1 person) disconnects between 4 and 6 hours.

- Another 9% (1 person) take breaks of 7 hours or more.

- No one reports taking breaks of 30 minutes or less.

This result suggests that most respondents take relatively short breaks, indicating a high frequency of social network use throughout the day, with only a small portion of users disconnecting for longer periods.

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This graph shows respondents' perceptions of the impact of social networks on mental health:

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This graph shows respondents' perceptions of the impact of social networks on mental health:

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- 73% (8 people) believe that social networks absolutely have an impact on mental health.

- 9% (1 person) have a neutral stance on the matter.

- Another 9% (1 person) believe that networks rarely affect mental health.

- None of the respondents are of the opinion that social networks never have an impact on mental health.

In summary, most perceive a significant impact of social networks on mental health, reflecting a growing awareness of their possible emotional and psychological effects.

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The graph shows the frequency with which respondents use social networks to communicate with family:

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The graph shows the frequency with which respondents use social networks to communicate with family:

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- 55% (6 people) do so daily.

- 18% (2 people) communicate on a weekly basis.

- 9% (1 person) do it monthly.

- 9% (1 person) never use social networks to communicate with their family.

- No one reported doing so annually.

This result reflects that the majority of respondents use social networks as a frequent means of family communication, highlighting their important role in maintaining close contact with loved ones. However, a small proportion do not use them for this purpose.

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Regarding the perception of whether privacy in social networks is sufficient to ensure security:

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Regarding the perception of whether privacy in social networks is sufficient to ensure security:

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- 27% (3 people) believe it is absolutely sufficient.

- Another 27% (3 people) have a neutral stance.

- 27% (3 people) are of the opinion that privacy is rarely sufficient.

- 9% (1 person) believe that it is never enough.

This result reflects a division of opinion among respondents. While some are confident in the security of the networks, a similar number have doubts or believe that privacy measures are not adequate to fully protect users. This could point to the need for greater transparency and improvements in the platforms' privacy policies.

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The results show a diverse opinion on the educational role of social networks:

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The results show a diverse opinion on the educational role of social networks:

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- 2 “Absolutely” responses: a small percentage of respondents believe that social networks are completely educational.

- 4 “Neutral” responses: The majority of respondents are in a neutral position, suggesting that they are not completely convinced that social networks are educational, but they do not completely rule them out either.

- 3 “Maybe” responses: Some respondents see a possibility that social networking can be educational, but perhaps not consistently or systematically.

- 1 “Never” response: Only one respondent believes that social networking has no educational value.

This pattern suggests that there is a split perception between the educational utility of social networks, with a tendency to see them as potentially educational but with nuances or limitations. Most do not seem to have a firm position on this issue.

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The results reflect a significant trend toward excessive use of social networks:

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The results reflect a significant trend toward excessive use of social networks:

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- 0 “Very often” responses: no one considers that they waste a lot of time on social networks on a very frequent basis.

- 4 “Often” responses: A moderate group of people acknowledge that they regularly spend more time than they would like to on social networks.

- 5 “Sometimes” responses: The majority of respondents mention that they sometimes waste more time than they would like, suggesting that this is a common but not constant experience.

- 1 “Never” response: One person indicates that they never experience this problem, which could indicate a very controlled or conscious use of social networks.

In summary, most people acknowledge that they sometimes waste more time than they would like to on social networks, with few extreme cases and only one person who does not experience this phenomenon. This reflects a somewhat problematic relationship with time spent on networks.

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my name is jimmy tovar and together with my partner vanessa caro we conducted a virtual survey on the use of social networks, we had a total of eleven participants in the form, from now on we will make a short analysis of each question that our participants answered.