| Resumen |
In today’s technology age, social media plays a significant part in people’s daily lives. On social media platforms like Twitter, Snap, Facebook, and Instagram, the majority of users frequently exchange text, pictures, and videos. Users post images on social media platforms more frequently than any other kind of media. Monitoring of the photographs posted on social media is therefore necessary. It has become simple for individuals and small organizations to create these photographs and spread them extensively in a very short period, endangering the veracity of the news and the public’s faith in social media. Because of this, we pay particular attention to trying to find insecure apps by examining user reviews on the Google Play marketplace and utilizing sentiment analysis to assess the safety of the application. Users’ experiences and trials, as well as their feelings and level of satisfaction with the programmer, are reflected in user reviews, as is well known. Unfortunately, not all of these evaluations are genuine. Since it is well recognized that fake reviews do not accurately reflect the sincerity of feelings, we have taken great care to filter the reviews to produce results that are accurate and reliable. Both consumers who wish to download Android apps and programmers who are engaged in app optimization can benefit from this research. Moreover, data from qualitative statistics show distinct disparities between fake and genuine consumers. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. |
