Cyberbullying has proven consequential to youth Internet users and previous methods relied heavily on the use of manually developed dictionaries. This project describes preliminary results for a system that uses Latent Semantic Indexing (LSI) for the detection of cyberbullying in a labeled collection of posts from Formspring.me. After preprocessing to account for variations in spelling and use of emoticons, a search system was developed. Our system significantly outperforms the baseline with a very simple query and is not dependent on a dictionary of bullying terms. CCS Concepts •Information systems → Web and social media search; Data stream mining; •Security and privacy → Usability in security and privacy;

The dipole-dipole interaction between two Rydberg atoms depends on the relative orientation of the atoms and on the change in the magnetic quantum number. We simulate the effect of this anisotropy on the energy transport in an amorphous many atom system subject to a homogeneous applied electric field. We consider two experimentally feasible geometries and find that the effects should be measurable in current generation imaging experiments. In both geometries atoms of p character are localized to a small region of space which is immersed in a larger region that is filled with atoms of s character. Energy transfer due to the dipole-dipole interaction can lead to a spread of p character into the region initially occupied by s atoms. Over long timescales the energy transport is confined to the volume near the border of the p region which suggests Anderson localization. We calculate a correlation length of 6.3 µm for one particular geometry.

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