1 Introduction

Consider a set of K alternatives. A social choice rule selects a subset of alternatives for every preference profile. A scoring rule is a special class of social choice rule that asks voters to match a fixed set of K scores to the set of alternatives, and selects those alternatives that maximize the sum of their scores.

We say that a voter places a given alternative above the line if he prefers it to at least half of the alternatives, and that he places it below the line if at least half of the alternatives are preferred to it. We further say that an alternative is socially acceptable if it is placed above the line by at least as many voters as those who place it below the line. In this paper we are interested in those scoring rules that always select a subset of socially acceptable alternatives. It turns out that there is only one such scoring rule. This rule chooses the alternatives that maximize the difference between the number of voters that place them above the line and the number of voters that place them below the line. We call it the half accepted-half rejected rule. It is similar to some voting rules recently discussed in the literature, e.g., the 1-best 1-worst voting rule characterized by García-Lapresta et al. (2010), the dis&approval rule characterized by Alcantud and Laruelle (2014), and the single-approval multiple-rejection (SAMR) rules characterized by Baharad and Nitzan (2016). All of them share with the half accepted-half rejected rule the attribute of being simple rules in the sense that they do not require from the voters to report their whole preference relations. For instance, the half accepted-half rejected rule only asks voters to report the sets of alternatives that they place above and below the line. Similarly, the 1-best 1-worst rule asks voters to report the best and the worst alternatives in their preference orderings, and the dis&approval rule asks them to report the sets of alternatives that they approve and disapprove.

It may be worth noting that whereas both the half accepted-half rejected rule and the 1-best 1-worst rules are standard scoring rules, the dis&approval and the SAMR rules are not. They are what is known as flexible scoring rules since whereas voters are asked to map a set of scores to the set of alternatives, these maps are not required to be invertible.Footnote 1

The paper is organized as follows. Section 2 lays out the basic definitions and introduces the concept of socially acceptable alternatives. Section 3 states and proves the main result, and Sect. 4 concludes.

2 Scoring rules

Let \(A=\{a_1, \ldots , a_K\}\) be a set of \(K>2\) alternatives. Also, let \(\mathcal {P}\) be the set of complete, transitive and antisymmetric binary relations on A. We will refer to the elements of \(\mathcal P\) as preference relations. Let \(\mathbb {N}\) be the set of non-negative integers, which represents the names of the potential voters. For any finite set \(V\subseteq \mathbb {N}\) of voters, a preference profile is an assignment of a preference relation to each voter in V. A social choice rule is a function that assigns a nonempty subset of alternatives to each preference profile. A social choice rule is anonymous if it does not depend on the names of the voters. When we restrict attention to anonymous social choice rules, a preference profile can be summarized by a list \(\pi =(\succ _1, \ldots , \succ _n)\) of preference relations where n is the number of voters.

A special class of anonymous social choice rules consists of scoring rules. A scoring rule is characterized by K-tuple \(S=(S_1, S_2, \ldots , S_K)\) of non-negative scores with \(S_1 \ge S_2 \ge \cdots \ge S_K\) and \(S_1 > S_K\). Given a preference profile \(\pi =(\succ _1, \ldots , \succ _n)\), each individual \(i=1, \ldots , n\) assigns \(S_k\) points to the alternative that is ranked k-th in his preference relation, for \(k=1, \ldots , K\). That is, each agent assigns \(S_1\) points to his most preferred alternative, \(S_2\) points to the second best alternative and so on. The scoring rule associated with the scores in S, denoted by \(F_S\), chooses the alternatives with the maximum total score. It is easy to see that, for any \(\alpha >0\) and , the scoring rules associated with the scores \(S_i\) and with the scores \(\alpha S_i+\beta \), for \(i=1, \ldots , K\) are one and the same rule. Therefore it is sometimes convenient to restrict attention to scores \(( S_1, \ldots , S_K)\) where \(S_1=1\) and \(S_K=0\).

Many well-known social choice rules are instances of scoring rules. For example, the plurality rule is the scoring rule associated with the scores \((1, 0, \ldots ,0)\). The inverse plurality rule is the scoring rule associated with scores \((1, \ldots , 1, 0)\).Footnote 2 More generally, for \(1\le t \le K-1\), the t-approval voting method is the scoring rule associated with the scores \((\underbrace{1, \ldots , 1}_t,\underbrace{0,\ldots ,0}_{K-t})\). Lastly, the Borda social choice rule is the scoring rule associated with the scores \((K-1, K-2, \ldots , 0)\).

As mentioned in the introduction, we say that a voter places a given alternative above the line if he prefers it to at least half of the alternatives, and below the line if at least half of the alternatives are preferred to it. For instance, if \(K=5\) and a voter’s preference relation is given by \(a_1 \succ a_2 \succ a_3 \succ a_4 \succ a_5\), then he places alternatives \(a_1\) and \(a_2\) above the line and alternatives \(a_4\) and \(a_5\) below the line. In this paper we focus on the scoring rule that assigns a score of 1 to the alternatives placed above the line, a score of -1 to alternatives below the line, and a score of 0 to the alternative (if there is one) that is neither above nor below the line. Formally, the half accepted-half rejected (HAHR) rule is the rule \(H:\cup _{n=1}^\infty \mathcal{P}^n \rightarrow 2^A{\setminus } \emptyset \) defined by the scores

$$\begin{aligned} S_j=\left\{ \begin{array}{ll} 1&{}\quad j< \frac{K+1}{2}\\ 0&{}\quad j=\frac{K+1}{2}\\ -1&{}\quad j> \frac{K+1}{2} \end{array}\right. . \end{aligned}$$
(1)

For any preference profile \(\pi =(\succ _1, \ldots , \succ _n)\), \(H(\pi )\) denotes the subset of alternatives selected by the HAHR rule.

We now single out some alternatives for being above the line for a sufficient number of voters.

Definition 1

Let \(\pi \) be a preference profile, and let \(a\in A\) be an alternative. We say that a is socially acceptable with respect to \(\pi \) if the number of individuals that place it above the line is at least as large as the number of individuals that place it below the line.

In principle, one would like to attain the ideal of unanimity and look for an alternative that is ranked first by all individuals. Since such an alternative may not exist, we may look for alternatives that are ranked first in the preference order of a majority of individuals. Or, more generally, we may look for alternatives that are ranked in the first k places by most individuals. The concept of socially acceptable alternatives singles out those alternatives that most individuals rank above at least half of the alternatives in their preference relations. As we will see later, for any preference profile we can always find socially acceptable alternatives. Furthermore, if we strengthened the requirement on socially acceptable alternatives and asked that most individuals rank them at least one level higher than the mid-rank, then there would be profiles with no correspondingly defined socially acceptable alternatives. For instance, assume that \(A=\{a,b,c\}\) and consider the preference profile (abcbcacab). It can be seen that there is no alternative that is ranked above the second place in the preference relation of at least two individuals.

The next example shows that a Condorcet winner may not be socially acceptable.

Example 1

Assume \(A=\{a,b,c,d\}\) and consider the preference profile (abcdacbdcdabcbadbdac). It can be seen that whereas alternative a is a Condorcet winner, it is not socially acceptable. The only socially acceptable alternatives are b and c. Furthermore, it can be checked that the HAHR rule chooses precisely these two alternatives.

The next proposition shows that all the alternatives chosen by the HAHR rule are socially acceptable.

Proposition 1

Let H be the HAHR scoring rule and let \(\pi \) be a preference profile. If \(a\in H(\pi )\) then a is socially acceptable.

Proof

Recall that HAHR is the scoring rule defined by the list of scores given in (1). Since the sum of the scores in S is 0, the total number of scores that are distributed among the alternatives is 0. As a result, the average score obtained by the alternatives is 0, and any alternative that gets the maximum score gets a score of at least 0. Consider an alternative a that is not socially acceptable. Each individual that places a above the line, assigns it a score of 1. And each individual that places it below the line, assigns it a score of \(-1.\) Since the number of individuals that place a below the line is greater than the number of individuals that place it above the line, alternative a gets a strictly negative score. This means that it is not chosen by the rule. \(\square \)

The following corollary is an immediate consequence of the fact the HAHR rule always selects a non-empty set of alternatives.

Corollary 1

For any preference profile,  there exists at least one socially acceptable alternative with respect to it.

Example 1 above suggests the following property of social choice rules.

Definition 2

A social choice rule F satisfies social acceptability if for any profile \(\pi \), \(F(\pi )\) consists of socially acceptable alternatives with respect to \(\pi \).

3 The result

We can now state our main result.

Theorem 1

A scoring rule satisfies social acceptability if and only if it is the HAHR rule.

Proof

Proposition 1 already showed that HAHR satisfies social acceptability. We now show that it is the only scoring rule that satisfies this property. Let \(S=(S_1, \ldots , S_K)\) be a vector of scores where \(S_1=1\) and \(S_K=0\) and let \(F_S\) be the scoring rule associated with S. Assume that \(F_S\) satisfies social acceptability. We shall show that unless \(F_S\) is HAHR, that is, unless the scores are given by (1), there is a preference profile \(\pi \) such that \(F_S(\pi )\) contains an alternative that is not socially acceptable.

Recall that \(A=\{a_1, \ldots , a_K\}\).

Case 1: K is even. In this case we can subdivide the set of scoring rules that are not HAHR into two classes.

Case 1.1: The scores are given by \(S=(1, \ldots , S_{K/2},0, \ldots , 0)\), where \(S_{K/2}<1\). There are (K / 2)! permutations of \((a_{K/2+1}, \ldots , a_K)\). Denote them by \(\sigma _i (a_{K/2+1}, \ldots , a_K)\), for \(i=1, \ldots , (K/2)!\) and consider the following preference profile with \(2n+1\) individuals, where n is chosen so that \(n+1\) be divisible by (K / 2)!:

Preference

# of voters

\(\begin{array}{rll}\succ _1 &{} = &{} (\sigma _1 (a_{K/2+1}, \ldots , a_K),a_{1}, \ldots , a_{K/2})\\ \succ _2 &{} = &{} (\sigma _2 (a_{K/2+1}, \ldots , a_K),a_{1}, \ldots , a_{K/2})\\ \vdots &{}&{}\vdots \\ \succ _{(K/2)!}&{}=&{}(\sigma _{(K/2)!} (a_{K/2+1}, \ldots , a_K),a_{1}, \ldots , a_{K/2})\\ \succ _{(K/2)!+1}&{}=&{} (a_{1}, \ldots , a_{K/2},a_{K/2+1}, \ldots , a_K)\\ \end{array}\)

\(\begin{array}{c} \frac{n+1}{(K/2)!}\\ \frac{n+1}{(K/2)!}\\ \vdots \\ \frac{n+1}{(K/2)!}\\ n\\ \end{array}\)

It can be seen that \(a_1\) is not socially acceptable. Indeed, \(n+1\) individuals put it below the line and only n individuals put it above the line. In order to show that the scoring rule is not socially acceptable we will show that for some n, it assigns maximum score to alternative \(a_1\). For any alternative a, let Sc(a) stand for the total score attained by a in the above profile. Since \(a_1\) is preferred by all individuals to any alternative in \(\{a_1, \ldots , a_{K/2}\}\), we have that \(Sc(a_1) \ge Sc(a_i)\) for \(i=1, \ldots , K/2\). By construction, \(Sc(a_{K/2+1})\ge Sc(a_j)\) for \(j>K/2\). Therefore, in order to show that the scoring rule is not socially acceptable it is enough to show that \(Sc(a_1) \ge Sc(a_{K/2+1})\). By direct computation we have that

$$\begin{aligned} Sc(a_1)=n. \end{aligned}$$

Also, by direct computation

$$\begin{aligned} Sc(a_{K/2+1})\le (n+1)\left( \frac{1}{K/2} S_{K/2} + \frac{K/2-1}{K/2} 1\right) . \end{aligned}$$

Routine calculations show that a sufficient condition for \(Sc(a_1)>Sc(a_{K/2+1})\) is that n be chosen so that

$$\begin{aligned} n> \frac{K}{2(1-S_{K/2})}-1. \end{aligned}$$

Case 1.2: \(S=(1,\ldots , S_{K/2+1}, \ldots , 0)\), where, \(S_{K/2+1}>0\). For \(i=1, \ldots , (K/2)!\), let again \(\sigma _i (a_{K/2+1}, \ldots , a_K)\) denote the (K / 2)! permutations of \((a_{K/2+1},\ldots , a_K)\). Consider the following preference profile with \(2n+1\) individuals, where n is chosen to be divisible by (K / 2)!:

Preference

# of voters

\(\begin{array}{rll} \succ _1 &{} = &{} (a_{1}, \ldots , a_{K/2}, \sigma _1 (a_{K/2+1}, \ldots , a_K))\\ \succ _2 &{} = &{} (a_{1}, \ldots , a_{K/2}, \sigma _2 (a_{K/2+1}, \ldots , a_K))\\ \vdots &{}&{}\vdots \\ \succ _{(K/2)!} &{} = &{} (a_{1}, \ldots , a_{K/2}, \sigma _{(K/2)!} (a_{K/2+1}, \ldots , a_K))\\ \succ _{(K/2)!+1} &{} = &{} (a_{K/2+1}, \ldots , a_K, a_{1}, \ldots , a_{K/2})\\ \end{array}\)

\(\begin{array}{c} \frac{n}{(K/2)!}\\ \frac{n}{(K/2)!}\\ \vdots \\ \frac{n}{(K/2)!}\\ n+1\\ \end{array}\)

It can be seen that \(a_1\) is not socially acceptable. Indeed, \(n+1\) individuals put it below the line and only n individuals put it above the line. We now show that for some n, \(a_1\) is an alternative with maximum score. Since \(a_1\) is preferred by all individuals to any alternative in \(\{a_1, \ldots , a_{K/2}\}\), we have that \(Sc(a_1) \ge S(a_i)\) for \(i=1, \ldots , K/2\). By construction, \(Sc(a_{K/2+1})\ge Sc(a_j)\) for \(j>K/2\). Therefore it is enough to show that \(Sc(a_1) \ge Sc(a_{K/2+1})\). By direct computation we have that

$$\begin{aligned} Sc(a_1)=n+(n+1)S_{K/2+1}. \end{aligned}$$

Also, by direct computation

$$\begin{aligned} Sc(a_{K/2+1})\le n\left( \frac{K/2-1}{K/2}\right) S_{K/2+1} + (n+1). \end{aligned}$$

It follows that a sufficient condition for \(S(a_1)>S(a_{K/2+1})\) is that n be chosen so that

$$\begin{aligned} n>\frac{K(1-S_{K/2+1})}{2\underbrace{S_{K/2+1}}_{>0}}. \end{aligned}$$

Case 2: K is odd. In this case we can subdivide the set of scoring rules that are not HAHR into four classes. Denote by \(M=(K+1)/2\) the median number of alternatives.

Case 2.1: \(S=(1,\ldots , S_{M}, S_{M+1}, \ldots , 0)\) where \(S_{M+1}>0\). There are \((M-1)!\) permutations of \((a_{M+1}, \ldots , a_K)\). Denote each of these permutations by \(\sigma _i (a_{M+1}, \ldots , a_K)\), for \(i=1, \ldots , (M-1)!\). Consider the following preference profile with \(2n+2\) individuals, where n is chosen to be divisible by \((M-1)!\):

Preference

# of voters

\(\begin{array}{rll} \succ _1 &{} = &{} ((a_{1}, \ldots , a_{M-1}),a_M,\sigma _1 (a_{M+1}, \ldots , a_K))\\ \succ _2 &{} = &{} ((a_{1}, \ldots , a_{M-1}),a_M,\sigma _2 (a_{M+1}, \ldots , a_K))\\ \vdots &{} &{} \vdots \\ \succ _{(M-1)!} &{} = &{} ((a_{1}, \ldots , a_{M-1}),a_M,\sigma _{(M-1)!} (a_{M+1}, \ldots , a_K))\\ \succ _{(M-1)!+1} &{} =&{} ((a_{M+1}, \ldots , a_K),a_M,(a_{1}, \ldots , a_{M-1}))\\ \succ _{(M-1)!+2} &{} =&{} ((a_{M+1}, \ldots , a_K),a_1,(a_{M},a_2, \ldots , a_{M-1}))\\ \end{array}\)

\(\begin{array}{c} \frac{n}{(M-1)!}\\ \frac{n}{(M-1)!}\\ \vdots \\ \frac{n}{(M-1)!}\\ n+1\\ 1\\ \end{array}\)

It can be seen that alternatives \(a_1, \ldots , a_{M-1}\) are not socially acceptable; while n individuals put them above the line, \(n+1\) individuals place them below the line. Alternative \(a_M\) is not socially acceptable either; no voter places it above the line and one voter places it below the line. On the other hand, alternatives \(a_{M+1}, \ldots , a_K\) are all socially acceptable; whereas n individuals put them below the line, \(n+2\) individuals put them above the line. We will show that for some large enough n, none of these alternatives is chosen by the social choice rule. For this purpose, as in the previous cases, it is enough to show that \(Sc(a_1) > Sc(a_{M+1})\). By direct computation

$$\begin{aligned} Sc(a_1)\ge n+ (n+2) S_{M+1}. \end{aligned}$$

Also, by direct computation

$$\begin{aligned} Sc(a_{M+1})\le \frac{M-2}{M-1} n S_{M+1}+(n+2). \end{aligned}$$

It follows that a sufficient condition for \(S(a_1)>S(a_{M+1})\) is that

$$\begin{aligned} n> \frac{2 (M-1)(1-S_{M+1})}{S_{M+1}}. \end{aligned}$$

Case 2.2: \(S=(1,\ldots , S_{M},0, \ldots , 0)\) where \(S_{M}>1/2\). There are \((K-1)!\) permutations of \((a_2, \ldots , a_K)\). For \(i=1, \ldots , (K-1)!\) let \(\sigma _i (a_2, \ldots , a_K)\) denote each of these permutations. Also let \(\tau _i(a_2, \ldots , a_{M}, a_1, a_{M+1}, \ldots , a_K )\) be all the permutations of \((a_1, \ldots , a_K)\) that place \(a_1\) in the Mth place. There are \((K-1)!\) such permutations. Consider the following preference profile:

Preference

# of voters

\( \begin{array}{rll} \succ _1&{}=&{}(a_{1}, \sigma _1 (a_{2}, \ldots , a_K))\\ \succ _2&{}=&{}(a_{1}, \sigma _2 (a_{2}, \ldots , a_K))\\ \vdots &{} &{} \vdots \\ \succ _{(K-1)!}&{}=&{}(a_{1}, \sigma _{(K-1)!} (a_{2}, \ldots , a_K))\\ \succ _{(K-1)!+1}&{}=&{} \tau _1(a_2, \ldots , a_{M}, a_1, a_{M+1}, \ldots , a_K) \\ \vdots &{}&{}\vdots \\ \succ _{2(K-1)!}&{}=&{} \tau _{(K-1)!}(a_2, \ldots , a_{M}, a_1, a_{M+1}, \ldots , a_K )\\ \succ _{2(K-1)!+1}&{}=&{}(\sigma _{1} (a_{2}, \ldots , a_K),a_{1})\\ \vdots &{}&{}\vdots \\ \succ _{3(K-1)!}&{}=&{}(\sigma _{(K-1)!} (a_{2}, \ldots , a_K),a_{1})\\ \end{array}\)

\( \begin{array}{c} n\\ n\\ \vdots \\ n\\ 2n\\ \vdots \\ 2n\\ n+1\\ \vdots \\ n+1\\ \end{array} \)

It can be seen that alternative \(a_1\) is not socially acceptable; while \( (K-1)!\,n\) individuals put it above the line, \((K-1)!\,(n+1)\) individuals put it below the line. By Corollary 1 at least one of the other alternatives is socially acceptable. By symmetry, all of them are. We will show that, for some large enough n, none of them is chosen by the social choice rule. For this purpose it is enough to show that \(Sc(a_1) > Sc(a_{i})\), for \(i\ne 1\). By direct computation

$$\begin{aligned} Sc(a_1)= (K-1)!\,(n + 2n S_{M}). \end{aligned}$$

Also, by direct computation

$$\begin{aligned} Sc(a_{i})\le & {} (K-1)!\,\left( n \left( \frac{\left( \frac{K-1}{2}-1 \right) }{K-1}+\frac{1}{K-1}S_M\right) \right. \nonumber \\&\left. +\,n+(n+1)\left( \frac{1}{2}+\frac{1}{K-1}S_M\right) \right) . \end{aligned}$$
(2)

Indeed, for each of the preference relations \(\succ _1, \ldots , \succ _{(K-1)!}\), the \(K-1\) alternatives \(a_2, \ldots , a_K\) are ranked in the 2nd to Kth place. Therefore, half of them get a score of 0, one of them gets a score of \(S_M\), and \((K-1)/2-1\) of them get a score of at most 1. Therefore the sum of the scores assigned to any alternative \(a_i\ne a_1\) by these preference relations is \((K-1)!\left( \frac{(\frac{K-1}{2}-1)}{K-1} +\frac{1}{K-1}S_M\right) n\). Similarly, for each of the preference relations \(\succ _{(K-1)!+1}, \ldots , \succ _{2(K-1)!}\), half of the \(K-1\) alternatives \(a_2, \ldots , a_K\) are ranked in the first \(M-1\) places, and the other half are ranked in the last \(M-1\) places. Therefore, half of them get a score of 0, and half of them get a score of at most 1. Therefore the sum of the scores assigned to any alternative \(a_i\ne a_1\) by these preference relations is \((K-1)!n\). Finally for preference relations \(\succ _{2(K-1)!+1}, \ldots , \succ _{3(K-1)!}\), the \(K-1\) alternatives \(a_2, \ldots , a_K\) are ranked in the 1st to \((K-1)\)th place. Consequently, half of them get a score of at most 1, one of them gets a score of \(S_M\), and the rest get a score of 0. As a result, the sum of the scores assigned to any alternative \(a_i\ne a_1\) by these preference relations is \((K-1)!\big (\frac{1}{2}+\frac{1}{K-1}S_M\big )(n+1)\). The sum of these three terms constitutes the bound that appears in Eq. 2.

It follows that a sufficient condition for \(Sc(a_1)>Sc(a_{M+1})\) is that

$$\begin{aligned} n> \frac{ K + 2 S_M-1}{2 (K-2) ( 2 S_M-1)}. \end{aligned}$$

Case 2.3: \(S=(1,\ldots , S_{M},0, \ldots , 0)\) where \(S_{M}<1/2\). There are \((K-1)!\) permutations of \((a_2, \ldots , a_K)\). For \(i=1, \ldots , (K-1)!\) let \(\sigma _i (a_2, \ldots , a_K)\) denote each of these permutations. Consider the following preference profile:

Preference

# of voters

\( \begin{array}{rll} \succ _1 &{} = &{} (a_{1}, \sigma _1 (a_{2}, \ldots , a_K))\\ \succ _2&{}=&{}(a_{1}, \sigma _2 (a_{2}, \ldots , a_K))\\ \vdots &{}&{}\vdots \\ \succ _{(K-1)!}&{}=&{}(a_{1}, \sigma _{(K-1)!} (a_{2}, \ldots , a_K))\\ \succ _{(K-1)!+1}&{}=&{}(\sigma _{1} (a_{2}, \ldots , a_K),a_{1})\\ \vdots &{}&{}\vdots \\ \succ _{2(K-1)!}&{}=&{}(\sigma _{(K-1)!} (a_{2}, \ldots , a_K),a_{1})\\ \end{array}\)

\( \begin{array}{c} n\\ n\\ \vdots \\ n\\ n+1\\ \vdots \\ n+1\\ \end{array}\)

It can be seen that alternative \(a_1\) is not socially acceptable; while \((K-1)!\,n\) individuals put it above the line, \((K-1)!\,(n+1)\) individuals put it below the line. All the other alternatives are socially acceptable. We will show that for some n, none of them is chosen by the social choice rule. For this purpose, it is enough to show that \(Sc(a_1) > Sc(a_{i})\), for \(i\ne 1\). By direct computation,

$$\begin{aligned} Sc(a_1)= (K-1)!\,n. \end{aligned}$$

Also, by direct computation

$$\begin{aligned} Sc(a_{i})\le & {} (K-1)!\left( n\left( \frac{\left( \frac{K-1}{2}-1 \right) }{K-1}+\frac{1}{K-1}S_M\right) \right. \nonumber \\&\left. +(n+1)\left( \frac{1}{2}+\frac{1}{K-1}S_M\right) \right) . \end{aligned}$$
(3)

Indeed, for preference relations \(\succ _1, \ldots , \succ _{(K-1)!}\), the \(K-1\) alternatives \(a_2, \ldots , a_K\) are ranked in the 2nd to \(K\hbox {th}\) place. Therefore, half of them get a score of 0, one of them gets a score of \(S_M\), and \((K-1)/2-1\) of them get a score of at most 1. Therefore the sum of the scores assigned to any alternative \(a_i\ne a_1\) by these preference relations is \((K-1)!\Big (\frac{(\frac{K-1}{2}-1)}{K-1} +\frac{1}{K-1}S_M\Big )n\). Similarly, for preference relations \(\succ _{(K-1)!+1}, \ldots , \succ _{2(K-1)!}\), the \(K-1\) alternatives \(a_2, \ldots , a_K\) are ranked in the 1st to \((K-1)\)th place. Therefore, half of them get a score of at most 1, one of them gets a score of \(S_M\), and the rest get a score of 0. Therefore the sum of the scores assigned to any alternative \(a_i\ne a_1\) by these preference relations is \((K-1)!\big (\frac{1}{2}+\frac{1}{K-1}S_M\big )(n+1)\). The sum of these two terms constitutes the bound that appears in Eq. 3.

It follows that a sufficient condition for \(Sc(a_1)>Sc(a_{M+1})\) is that

$$\begin{aligned} n> \frac{ K -(1 - 2 S_M)}{2 (1- 2 S_M)}. \end{aligned}$$

Case 2.4: \(S=(1,\ldots ,S_{M-1}, S_{M}, 0, \ldots , 0)\) where \(S_{M-1}<1\), and \(S_{M}=1/2\). There are \((M-1)!\) permutations of \((a_{M+1}, \ldots , a_K)\). Denote each of these permutations by \(\sigma _i (a_{M+1}, \ldots , a_K)\), for \(i=1, \ldots , (M-1)!\). Consider the following preference profile with \((M-1)!(2n+2)\) individuals:

Preference

# of voters

\( \begin{array}{rll} \succ _1&{}=&{}((a_{1}, \ldots , a_{M-1}),a_M,\sigma _1 (a_{M+1}, \ldots , a_K))\\ \succ _2&{}=&{}((a_{1}, \ldots , a_{M-1}),a_M,\sigma _2 (a_{M+1}, \ldots , a_K))\\ \vdots &{}&{}\vdots \\ \succ _{(M-1)!}&{}=&{}((a_{1}, \ldots , a_{M-1}),a_M,\sigma _{(M-1)!} (a_{M+1}, \ldots , a_K))\\ \succ _{(M-1)!+1}&{}=&{}(\sigma _1 (a_{M+1}, \ldots , a_K),a_M,(a_{1}, \ldots , a_{M-1}))\\ \vdots &{}&{}\vdots \\ \succ _{2(M-1)!}&{}=&{}(\sigma _{(M-1)!} (a_{M+1}, \ldots , a_K),a_M,(a_{1}, \ldots , a_{M-1}))\\ \succ _{2(M-1)!+1}&{}=&{}((a_{M+1}, \ldots , a_K),a_1,(a_{M},a_2 \ldots , a_{M-1}))\\ \end{array}\)

\(\begin{array}{c} n\\ n\\ \vdots \\ n\\ n+1\\ \vdots \\ n+1\\ (M-1)!\\ \end{array}\)

It can be seen that alternatives \(a_1, \ldots , a_{M-1}\) are not socially acceptable; while \((M-1)!\,n\) individuals place them above the line, \((M-1)!\,(n+1)\) individuals place them below the line. Alternative \(a_M\) is not socially acceptable either; no voter places it above the line and one voter places it below the line. On the other hand, alternatives \(a_{M+1}, \ldots , a_K\) are all socially acceptable. We will show that for some n, none of them is chosen by the social choice rule. For this purpose, it is enough to show that \(Sc(a_1) > Sc(a_{M+1})\). By direct computation,

$$\begin{aligned} Sc(a_1)= (M-1)!\,(n+ 1/2). \end{aligned}$$

Also, by direct computation,

$$\begin{aligned} Sc(a_{M+1})\le (M-1)! \left( (n+1)\left( \frac{(M-1)-1}{M-1} +\frac{1}{M-1} S_{M-1}\right) +1\right) . \end{aligned}$$

It follows that a sufficient condition for \(S(a_1)>S(a_{M+1})\) is that

$$\begin{aligned} n> \frac{3 M+2 S_{M-1}-5}{2(1-S_{M-1})}. \end{aligned}$$

\(\square \)

4 Concluding remarks

We have shown that the only scoring rule that always selects socially acceptable alternatives is the HAHR rule. It is worth mentioning that in a celebrated paper, Young (1975) has characterized the class of scoring rules as the only social choice rules that satisfy the following axioms:

Anonymity :

The social choice rule does not depend on the names of the voters.

Neutrality :

The social choice rule does not depend on the names of the alternatives.

Reinforcement :

If \(\pi =(\succ _1, \ldots , \succ _n)\) and \(\pi '=(\succ _{n+1}, \ldots , \succ _m)\) are two profiles with disjoint sets of voters, then \(F(\pi ,\pi ')=F(\pi )\cap F(\pi ')\) unless \(F(\pi )\cap F(\pi ')=\emptyset \), where \((\pi ,\pi ')=(\succ _1, \ldots , \succ _m)\) is the concatenation of profiles \(\pi \) and \(\pi '\).

Continuity :

If \(F(\pi )=\{a\}\), then for any profile \(\pi '\), there is a sufficiently large n such that \(F(n\pi ,\pi ')=\{a\}\) for all \(n'\ge n\), where \(n\pi \) is the concatenation of n replicas of \(\pi \).

Therefore, Theorem 1 implies that a social choice rule satisfies anonymity, neutrality, reinforcement, continuity, and social acceptability if and only if it is the HAHR rule. Furthermore, this characterization is tight. Indeed, the social choice rule that for any \(\pi \) selects the alternative in \(H(\pi )\) that is most preferred to some fixed individual, satisfies all the above axioms except for anonymity. The social choice rule that for any \(\pi \) selects the alternative in \(H(\pi )\) that is lowest in some fixed linear order of the alternatives satisfies all the above axioms except for neutrality. The rule that for any profile selects the set of the socially acceptable alternatives with respect to it satisfies all the above axioms except for reinforcement. The rule that coincides with HAHR except for profiles in which there is an alternative a that is ranked second by all voters, in which case \(\{a\}\) is selected, satisfies all the above axioms except for continuity. Finally, any scoring rule except for HAHR satisfies all of Young’s axioms but, as we have shown, fails to satisfy social acceptability.