In order to communicate brand concepts and values to the young generations, many brands are highly active on social media platforms such as Twitter, Facebook, and Instagram. Brand-Generated Content has already become the most common marketing strategy for fashion brands and plays a significant role in influencing consumers’ purchase intention. With increased competition on social media platforms, companies need to understand which posting features can bring in more consumer engagements such as number of likes and comments on social media platforms. In this paper, we develop (1) a model to predict the number of likes and (2) a methodology to detect anomaly of posts that have unusually high percentage of negative user comments based on Instagram design variables, including semantic text meanings, facial expressions, color scheme and background of photos, and post timing, among others. We collected a data set of brand-generated Instagram posts from ten fashion brands. The data covers the image, text, and user comments posted between 2019 and 2020. Image features were extracted using Convolutional Neural Network, and text topics were generated through Latent Dirichlet Allocation. Our results will help managers design Instagram posts to increase consumer engagement and to reduce negative consumer reactions.

Radon is an inert gas, and a naturally occurring radioactive material. Radon is produced by radium and uranium. Generated radon causes lung cancer through the inhalation. Therefore, If uranium contaminated soil is close to indoor spaces, residents may be exposed to this radioactive material(Radon). Generally, radon affects the first to third floors of buildings. But our research team has often detected high radon concentration in the indoor air of high-rise apartments. The reason for this is that building materials containing uranium and radium are brought into apartments. This study was conducted an investigation into the radon emission rate of building materials being used in South Korea. Also, our team conducted an investigation into the radon emission rate of gypsum tiles and concrete found in an apartment(17th floor apartment indoor radon concentration 5.03 pCi/L, Rad- 7(DURRIDGECo.USA)). Finally, we investigated the radon emission rate of bricks containing the soil near a uranium mine. The average radon emission rates of general building materials are as followings: (gypsum board : 0.20·h-1/kg, gravel : 0.05, gypsum tile : 0.02, indoor tile : 0.08, general brick : 0.02, red clay tile : 0.02, concrete : 0.11, uranium mine soil : 4.81). The results regarding the radon emission rate from a 17th floor apartment’s building materials are as followings: (gypsum board : 0.70, concrete : N/A). The results regarding the radon emission rate from bricks containing soil near a uranium mine was 0.19. This experiment indicates that gypsum boards show the highest radon emission rate among general building materials. In particular, the radon emission rate from the gypsum boards in a 17th floor apartment was 3.5 times higher than general gypsum boards. Overall the results suggest that building materials that possess high levels of uranium emit more radon gas than any other materials. South Korea has not established legal regulations on radon emission from building materials. However, the results of this study strongly suggest that it is of the utmost importance to manage the radon emission rate of building materials and control their usage before construction.