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From an empirical analysis, we strongly believe that, since the profile has good contents, all the positive results were drove by this feature. D. Overall Results Finally, for the sake of completeness of information, we have summarized all the results obtained in the following table (Figure 5): content analyses, defining if a Bot must be considered Benign or Malign, with a set of subcategory cases. Those works were useful because they offered a general overview on how Bots can be classified, giving a definition of Social Bot and pointing out which elements can be ambiguous using Bots. Then we found out many works, as [21], [22] and [23], that respectively classifies the detection techniques, realized a bot detection and a spam detection algorithm. Then, for what concerns the Social Media Strategies, [24] described, on a sample of 14 companies, why they use social media strategies, why those strategies are important and which activities they are enforcing through social medias. Those activities are principally discounts, customer communication, customer service and the introduction of new products, stating that those activities have many benefits for the companies. Then, [25] describes the importance of Social Network Sites (SNss) and how they have changed the companies marketing strategies. Indeed, for the authors SNSs are real marketing tools to inform, attract and engage new customers. Moreover, [26] investigated how the formation of trust is the motivating factor for a high rate of socialization between two social network users. Indeed, authors think that, in virtual environ- ments, a healthy positive social interaction between a pair of individuals builds up to trust. This trust in turn leads to more socialization. However, all the cited strategies are more general and not well defined as our and all of them are applied on Facebook. Instead as Social Media Indicators, [27] intention was to let understand to companies how Social Media Marketing (SMM) really works in practice. So they analysed KPIs for Facebook. Accordingly to what we did, authors defined as KPI number of brand’s fans on Facebook and number of active fans interacting with the brand on Facebook. Moreover, authors formulated a number of hypotheses about relationships among analyzed KPIs. These indicators are comparable to those one that we defined. Differently, [28] presented a work on formalization and identification of social networks users. They developed the special system of user activity indicators. Each of them is a set of tuples that is logging some different facet of user activity in social network environments. Indicators, that they have proposed, are basis for allocation of special groups of users, such as opinion leaders, opponents, trolls. Finally, at the best of our knowledge, we can affirm that there are no works in literature testing Growing Strategies and Social Bots on Instagram. VI. CONCLUSIONS This paper claims that using Strategies and Social Bots speeds up the growth process on Social Medias. Indeed, we proved that this approach is much more effective and it is able to overcome the limitation imposed by the Social Media algorithms. Moreover, this work could be considered an advice to big Social Media, as Instagram, on how user can behave to reach their goals, eventually taking some countermeasures. We want to precise that, we do not used our Social Bots in an harmful situation. Indeed, we think that using Malign Social Figure 5. Overall Growth Comparison with/without Social Bot E. Comparison with others Approaches Finally, we compared our work with other similar works [18]. For privacy reasons, we called @PROFILEB and @PRO- FILEC the used profiled. As we can see in the following table (Figure 6), the followers enhancement is comparable between all the Bots, but our work performs much better for what concerns the likes average and the ER. Figure 6. Comparison with different Social Bots So we can conclude this section saying that the employed Social Bot consistently increased all the analyzed statistics and really accomplished its initial purpose to help the profile diffusion over Instagram. V. RELATED WORK In this section we analyzed work targeted on Bot Classi- fication, Social Media Strategies and on Social Media Key Performance Indicator (KPI), pointing out the differences with our work. [19] outlined all the possible bot typologies. Then, through this typology, they defined the three main distinguish com- ponents: structure, function and uses. In a similar way, [20] studied if bots are a threat or an opportunity. More in detail, authors did a bot classification based on the Bot activitiesPDF Image | Analysis of Growth Strategies in Social Media: The Instagram Use Case
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